{"access":{"catalog_url":"https://aidevboard.com/api/v1/catalog","description":"Public read endpoints are open and free. API keys are optional for stable agent identity and keyed hourly throttling.","docs_url":"https://aidevboard.com/docs","employer_pilot_url":"https://aidevboard.com/verified-interview-pilot","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"candidate_resume_action":{"application_authorized":false,"candidate_charge":0,"endpoint":"https://aidevboard.com/api/v1/candidate/resume-preview","job_id_json_path":"jobs[].id","method":"POST","preview_requires_identity":false,"required_body_fields":["job_id","evidence_bullets"],"requires_explicit_human_review":true,"saved_artifact_protocol":"mcp","saved_artifact_requires_verified_human":true,"saved_artifact_tool":"compile_job_specific_resume","search_requires_identity":false,"status":"available_after_candidate_selects_job","submission_performed":false,"uses_candidate_verified_evidence":true},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"id":"b12494b6-b28e-4633-b8c1-467a5a2945dc","company_id":"e455f75a-a424-4955-9844-afebe8ea6eb4","title":"Software Engineer II, Frontend Agentic AI ","slug":"software-engineer-ii-frontend-agentic-ai-1d46eb29","description":"Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.\n The Software Engineer II Opportunity \n We are looking for a software engineer to build the interfaces people use to work with autonomous AI workers. This is not a dashboard job. Our users chat with agents that run for hours, steer them mid-task, inspect what an agent remembers, approve or reject its actions, and watch it work in real time. \n You will own those surfaces: the chat experience, the memory and context views, the live run timeline, and the approval flows that keep a human in charge. You will define what agentic interfaces look like—because most of the patterns you will ship do not exist yet. This is a senior individual contributor role requiring a minimum of 5 years of relevant experience.\n About You \n \n Proven Product Builder: You have built and shipped products that users love and have seen the direct impact of your work at scale.\n End-to-End Ownership : You take pride in owning projects from initial concept to launch and are comfortable wearing multiple hats to get the job done.\n AI \u0026 Tech Innovator: You stay ahead of the curve, eager to explore and implement the latest technologies, particularly in AI and LLM front-end paradigms.\n Collaborative Partner : You thrive in a high-bandwidth team environment and work effortlessly with both technical and non-technical partners. \n Driven \u0026 Ambitious : You have a hunger for success and want to build at a fast-growing company with big goals.\n \n What you’ll be doing  \n \n Build the conversational interface for long-horizon agents: streaming responses, tool calls shown as they happen, pause and interrupt controls, and mid-task steering.\n Design and ship memory management interfaces that let users see what an agent knows, edit or delete memories, and understand what context the agent is using and why.\n Build live agent run views: plans, steps, artifacts, retries, and results, rendered in real time over WebSockets or server-sent events.\n Build human-in-the-loop approval surfaces for agent actions that write to external systems, with clear diffs of what the agent is about to do.\n Build the Worker Builder interface where users design and configure their own digital workers in natural language.\n Manage complex client state for long-running agent sessions: reconnection, optimistic updates, partial results, and failure recovery.\n Create a reusable component library for agentic patterns so every new worker ships with a consistent, polished interface.\n Handle model output honestly in the UI: citations, uncertainty, errors, and empty states that tell the user the truth.\n Work daily with backend and agent engineers to shape the APIs and event streams the interfaces consume.\n Optimize for performance across devices and keep the experience fast while an agent streams thousands of events.\n \n What you’ll bring to the role \n \n 3+ years of front-end engineering experience with deep expertise in React, TypeScript, and modern state management (hooks, context, state machines).\n Experience building chat, copilot, or other LLM-powered interfaces in production.\n Hands-on experience with real-time UIs: WebSockets, server-sent events, streaming rendering, and reconnection handling.\n Strong product sense and the ability to design interaction patterns where no standard exists yet.\n Experience integrating front ends with LLM APIs and handling streamed, partial, and structured model outputs.\n Experience translating designs into fast, polished, responsive production code.\n Strong communication skills and comfort working directly with users to refine the experience.\n \n And extra credit if you have experience in any of the following!  \n \n You have shipped a chat or agent product used by thousands of users.\n Familiarity with agent frameworks (LangChain, LangGraph, or equivalent) and AI front-end SDKs such as the Vercel AI SDK.\n Experience with design systems, accessibility standards, and component library ownership.\n Experience visualizing complex processes: timelines, graphs, or workflow builders.\n Prior experience at a high-growth venture-backed AI or SaaS startup.\n \n (P25691) \n #LI-Inperson\n #LI-BB!\n Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave","salary_min":140000,"salary_max":192000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["agents","computer-graphics","code-generation","llm","frontend"],"apply_url":"https://www.okta.com/company/careers/opportunity/8139374?gh_jid=8139374","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-18T17:28:20Z","expires_at":"2026-09-29T13:39:36.827383Z","created_at":"2026-08-25T18:29:14.46757Z","updated_at":"2026-08-30T13:39:36.96009Z","company_name":"Okta","company_slug":"okta","company_logo_url":"https://www.google.com/s2/favicons?domain=okta.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b12494b6-b28e-4633-b8c1-467a5a2945dc"},{"id":"422c9084-1a35-4fa0-a1fa-28b24107d1c7","company_id":"286f7739-be56-491a-bcc7-de1df064fcd4","title":"Staff Software Engineer- UI Foundations Team","slug":"staff-software-engineer-ui-foundations-team-09c4fb9f","description":"Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com .\n As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.\n Amplitude’s Commitment to Diversity Equity \u0026 Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.\n Staff Software Engineer - UI Foundation \n at Amplitude (View all jobs) \n San Francisco Bay Area Hybrid\n  \n Amplitude is the leading AI-first digital analytics platform, helping over 4,300 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Fall 2025 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . \n As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.\n Amplitude’s Commitment to Diversity Equity \u0026 Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. \n \n The UI Foundation team owns the frontend infrastructure that every product engineer at Amplitude builds on — architecture, performance, developer experience, tooling, and build systems. We're the team that makes shipping fast, reliable frontend code possible at scale, and we're increasingly focused on how AI agents can autonomously handle engineering workflows that used to require constant human intervention.\n The Role \n We're looking for a Staff Software Engineer who thinks like an infrastructure engineer but has deep fluency in frontend systems. You'll drive architectural decisions for our frontend platform, push performance and DevX forward, and lead the build-out of our \"software factory\" — a set of autonomous, AI-agent-driven engineering workflows that increase engineering velocity across the org.\n This is a high-leverage, low-oversight role. You'll be setting technical direction for a foundational team, not just executing a roadmap someone else wrote.\n What You'll Do \n \n Frontend architecture: Own and evolve the architectural foundations of our frontend platform — module boundaries, micro-frontend patterns, shared component/design-system infrastructure, and state management strategy.\n Application performance: Diagnose and fix systemic performance issues (bundle size, load time, runtime performance, rendering bottlenecks); establish performance budgets and guardrails that scale across teams.\n Developer experience \u0026 tooling: Build and maintain the build systems, local dev environments, CI/CD pipelines, linting/codegen, and internal tooling that other engineers depend on daily.\n Software factory / agentic workflows: Continuously identify the biggest bottleneck in the engineering workflow and build AI-agent-driven automation to remove it, then move to the next one. For example, once code and PR generation stopped being the constraint, the bottleneck shifted to validation — and that's the next thing to automate. This is an ongoing, iterative practice of finding where engineers are spending unnecessary manual effort and systematically eliminating it with agentic tooling.\n Technical leadership: Set technical direction and standards for the frontend org; mentor senior/staff-track engineers; review architecture proposals from other teams that touch shared frontend infrastructure.\n Cross-functional partnership: Work closely with product engineering teams, design systems, and platform/infra teams to make sure foundational investments actually solve real product-team pain points.\n \n What We're Looking For \n \n Real world software","salary_min":173000,"salary_max":238000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","fine-tuning","llm","computer-graphics"],"apply_url":"https://job-boards.greenhouse.io/amplitude/jobs/8709027002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-13T21:22:36Z","expires_at":"2026-09-29T13:49:14.983984Z","created_at":"2026-08-25T18:33:39.341955Z","updated_at":"2026-08-30T13:49:15.113953Z","company_name":"Amplitude","company_slug":"amplitude","company_logo_url":"https://www.google.com/s2/favicons?domain=amplitude.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/422c9084-1a35-4fa0-a1fa-28b24107d1c7"},{"id":"1a8923c7-18fe-49e0-9ff3-f16189edf38a","company_id":"286f7739-be56-491a-bcc7-de1df064fcd4","title":"Staff Software Engineer- UI Foundations Team","slug":"staff-software-engineer-ui-foundations-team-7f3a29f5","description":"Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com .\n As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.\n Amplitude’s Commitment to Diversity Equity \u0026 Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive.\n Staff Software Engineer - UI Foundation \n at Amplitude (View all jobs) \n San Francisco Bay Area Hybrid\n  \n Amplitude is the leading AI-first digital analytics platform, helping over 4,300 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Fall 2025 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . \n As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.\n Amplitude’s Commitment to Diversity Equity \u0026 Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. \n \n The UI Foundation team owns the frontend infrastructure that every product engineer at Amplitude builds on — architecture, performance, developer experience, tooling, and build systems. We're the team that makes shipping fast, reliable frontend code possible at scale, and we're increasingly focused on how AI agents can autonomously handle engineering workflows that used to require constant human intervention.\n The Role \n We're looking for a Staff Software Engineer who thinks like an infrastructure engineer but has deep fluency in frontend systems. You'll drive architectural decisions for our frontend platform, push performance and DevX forward, and lead the build-out of our \"software factory\" — a set of autonomous, AI-agent-driven engineering workflows that increase engineering velocity across the org.\n This is a high-leverage, low-oversight role. You'll be setting technical direction for a foundational team, not just executing a roadmap someone else wrote.\n What You'll Do \n \n Frontend architecture: Own and evolve the architectural foundations of our frontend platform — module boundaries, micro-frontend patterns, shared component/design-system infrastructure, and state management strategy.\n Application performance: Diagnose and fix systemic performance issues (bundle size, load time, runtime performance, rendering bottlenecks); establish performance budgets and guardrails that scale across teams.\n Developer experience \u0026 tooling: Build and maintain the build systems, local dev environments, CI/CD pipelines, linting/codegen, and internal tooling that other engineers depend on daily.\n Software factory / agentic workflows: Continuously identify the biggest bottleneck in the engineering workflow and build AI-agent-driven automation to remove it, then move to the next one. For example, once code and PR generation stopped being the constraint, the bottleneck shifted to validation — and that's the next thing to automate. This is an ongoing, iterative practice of finding where engineers are spending unnecessary manual effort and systematically eliminating it with agentic tooling.\n Technical leadership: Set technical direction and standards for the frontend org; mentor senior/staff-track engineers; review architecture proposals from other teams that touch shared frontend infrastructure.\n Cross-functional partnership: Work closely with product engineering teams, design systems, and platform/infra teams to make sure foundational investments actually solve real product-team pain points.\n \n What We're Looking For \n \n Real world software","salary_min":173000,"salary_max":238000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["fine-tuning","agents","llm","computer-graphics"],"apply_url":"https://job-boards.greenhouse.io/amplitude/jobs/8709009002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-13T21:22:35Z","expires_at":"2026-09-29T13:49:15.079351Z","created_at":"2026-08-25T18:33:39.337805Z","updated_at":"2026-08-30T13:49:15.210945Z","company_name":"Amplitude","company_slug":"amplitude","company_logo_url":"https://www.google.com/s2/favicons?domain=amplitude.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1a8923c7-18fe-49e0-9ff3-f16189edf38a"},{"id":"94ebc3af-9ff8-4906-a27b-88c6fae74950","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior, ML Engineer - 3D Reconstruction","slug":"senior-ml-engineer-3d-reconstruction-e19018d3","description":"About the Company     \n At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.   Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight.  Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.  \n Meet The Team:\n The Pseudo-Labeling team's goal is to create high-quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, and high-definition map elements. The annotations are then used by different downstream users — for example, perception teams use them to train various models, mapping teams use them to build and maintain HD maps, and simulation teams use them for generating new data.\n What You’ll Do:\n \n Design, implement, test and deploy offline 3D reconstruction, lane line detection, and automatic mapping/map creation modules to generate high-quality annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars, GPS/IMU).\n Build and refine lane line annotation pipelines, applying the latest lane line detection and creation machine learning models to automate and scale map creation.\n Develop and improve pose estimation algorithms to support accurate localization, sensor fusion, and 3D scene reconstruction.\n Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.\n Stay up to date with the latest developments in AI and ML for autonomous driving, 3D reconstruction, and automated mapping.\n Independently develop offline perception and mapping models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications.\n Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.\n Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation.\n Measure and track auto-labeling and map creation quality to meet internal customer requirements.\n Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner.\n Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.\n Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.\n Provide technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.\n \n What You’ll Need to Succeed:\n \n Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.\n Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.\n Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 6+ years of experience OR; Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 3+ years of experience OR; PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 1+ years of experience.\n Required Qualifications (some combination of the following skills): \n \n Experience in lane line annotation creation or automatic mapping/map creation.\n Familiarity with the latest lane line detection and creation machine learning models.\n Familiarity with pose estimation.\n Active Learning \u0026 Pseudo-labeling – Computer Vision, Deep Learning, Model training.\n Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.\n Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLflow, Weights and Biases, ML Metrics and Evaluation / Quality.\n Distributed machine learning frameworks – PyTorch, Lightning, Ray.\n Model Data Curation – Parquet data processing (PyArrow, Daft, Pandas, etc).\n Development Tools \u0026 Eco-Sys","salary_min":177300,"salary_max":212800,"location":"Ann Arbor, MI","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["computer-graphics","autonomous-vehicles","robotics","payments","deep-learning","mlops","pytorch","computer-vision"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8640183002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-10T18:30:13Z","expires_at":"2026-09-29T13:36:07.714213Z","created_at":"2026-08-25T18:27:50.524075Z","updated_at":"2026-08-30T13:36:07.85Z","company_name":"Torc Robotics","company_slug":"torc-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=torc.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/94ebc3af-9ff8-4906-a27b-88c6fae74950"},{"id":"83d650f4-9869-405c-83a1-e9cf3b226d45","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Lead Machine Learning Engineer - Localization","slug":"lead-machine-learning-engineer-localization-dd7aa387","description":"May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. \n Job Summary \n The Autonomy Mapping \u0026 Localization group builds the spatial intelligence, semantic and topological mapping, and state estimation that let our autonomous vehicles understand where they are and what the world looks like, and we scale that technology safely and reliably to commercial operations serving riders and consumers. We are looking for a Lead ML Engineer to join our team and architect the next generation of our localization stack. As the Lead ML Engineer for Localization, you will build the production-grade feature extraction and state estimation that lets our autonomous vehicles precisely navigate the world's most challenging roads at scale.\n Essential Responsibilities \n \n Architect and drive the technical roadmap for a production-grade localization machine learning stack, spanning map and sparse landmark-based localization (vision/LiDAR/radar), optimized for real-time performance, robustness against sensor degradation, and integration with the broader autonomy system across diverse Operational Design Domains (ODDs).\n Lead the research, design, training, and validation of advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model localization features (e.g., traffic signs, pole-like objects, keypoints, edges, signals, and road markings), for robust localization.\n Drive major feature development from inception to deployment. This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.\n Own the end-to-end data strategy for the localization feature extraction domain. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.\n Develop robust metrics and evaluation frameworks for localization performance, including feature extraction accuracy, temporal consistency, and system-level reliability across diverse ODDs.\n Define and validate failure mode and degradation criteria for localization features across ODDs, ensuring safety case coverage and graceful fallback behavior under sensor or model failure.\n Evaluate, adapt, and integrate frontier techniques, including multimodal localization and vision/fusion foundation models, translating research advances into production-ready solutions.\n Drive cross-functional alignment, translating complex autonomy goals into clear software and system requirements.\n \n Qualifications and Experience \n Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:\n Required \n \n Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.\n 7+ years of industry experience developing and deploying ML/DL models for computer vision or localization at scale.\n Deep expertise in several of the following areas:\n \n Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, 3D reconstruction, and feature detection/description (e.g., SIFT, ORB, SuperPoint).\n Vectorized landmark and feature detection networks, BEV-based scene representation, and temporal modeling.\n Self-supervised/semi-supervised learning, open-vocabulary detection, and vision/fusion Foundation Models.\n \n Experience with feature extraction and/or fusion from imagery, LiDAR, and/or radar.\n Expertise in ML/DL development using PyTorch or TensorFlow, including experience with synthetic data generation, large-scale dataset handling, data curation, and active learning strategies.\n Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.\n Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.\n Proven leadership in developing te","salary_min":235000,"salary_max":285000,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["healthcare","generative-ai","robotics","autonomous-vehicles","tensorflow","computer-graphics","pytorch","computer-vision"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8502300002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-04T17:26:06Z","expires_at":"2026-09-29T13:47:53.555408Z","created_at":"2026-08-25T18:33:06.971325Z","updated_at":"2026-08-30T13:47:53.684868Z","company_name":"May Mobility","company_slug":"may-mobility","company_logo_url":"https://www.google.com/s2/favicons?domain=maymobility.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/83d650f4-9869-405c-83a1-e9cf3b226d45"},{"id":"1d0e5c45-aa5f-4a6c-9242-6092bf439e87","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Staff, ML Engineer - Scene Generation","slug":"staff-ml-engineer-scene-generation-1ba58b93","description":"About the Company   \n At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.  Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.   \n Meet the Team   \n Torc is marching towards its AV 3.0 strategy. The Scene Generation team builds sensor simulation based on Neural Rendering and generative models for Torc's data-driven simulator. High-quality data from novel scenarios closes the domain data gap, solving one of the biggest challenges for safe autonomous driving. The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, contributing to Torc's data workflow for training and validation across the complete AV stack. As Staff ML Engineer, you will lead this team, setting its technical direction and day-to-day priorities.   \n What You'll Do   \n \n Serve as the team's technical lead, owning key design decisions and driving consensus across engineers and stakeholders. \n Set and own the technical vision and roadmap for the Scene Generation team's Neural Rendering and generative modeling work, aligned to Torc's AV 3.0 strategy.\n Lead the Scene Generation team day to day, prioritizing work, unblocking engineers, and making the final call on architecture and technical approach.\n Implement and guide the team in applying the latest research advances in Neural Rendering and generative models.\n Translate cutting edge research into production quality Camera, LiDAR, and Radar sensor simulation that scales perception simulation and AV 3.0 training.\n Own the neural rendering framework end to end, from research, design, and implementation through testing, cloud integration, and deployment.\n Understand the integration of the framework in a cloud environment and automate the pipeline to scale target verification and validation of our autonomous trucks.\n Design, implement, test, and deploy shippable production quality software using disciplined software development processes, setting the technical bar for the team.\n Work within the cloud machine learning ecosystem alongside other machine learning services across the company, owning integration and scaling decisions for the team's pipeline.\n Proactively assess current capabilities to identify areas for improvement, proposing and driving solutions that align with core strategy and operations.\n Drive alignment across team interfaces to the rest of the organization, representing Scene Generation's roadmap, priorities, and constraints to peer teams and leadership.\n Mentor, coach, and grow engineers on the team, and play an active role in hiring, onboarding, and career development for the group.   \n \n What You'll Need to Succeed   \n \n Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience OR Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 7+ years of experience OR PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 5+ years of experience. \n Proficiency in Python and deep learning frameworks such as PyTorch.\n PhD or equivalent work experience of 8+ years in a relevant field (CS, Robotics, Electrical Engineering), with industry experience shipping production software and leading technical teams.\n Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).\n Experience with production data in the context of robotics and/or autonomous driving\n Background in Computer Vision, Computer Graphics, 3D Reconstruction, or 3D Computer Vision.\n Experience handling autonomous driving sensor data across multiple timestamps and sensor modalities, including cameras, LiDAR, and radar.\n Recognized as an expert in the discipline, conducting complex, high impact work under minimal supervision and with wide latitude for independent judgment.\n Experience with VDI and cloud-based machine learning development environments.\n Demonstrated experience leading a team or serving as a technical lead, setting direction and driving consensus across engineers and stakeholders.\n Track record of mentoring and developing engineers, including more senior individual contributors.\n Proven abili","salary_min":249600,"salary_max":299500,"location":"Ann Arbor, MI","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["computer-vision","deep-learning","diffusion-models","autonomous-vehicles","robotics","computer-graphics","payments","gpu"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8651134002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-08-04T16:54:57Z","expires_at":"2026-09-29T13:36:08.377363Z","created_at":"2026-08-25T18:27:50.585738Z","updated_at":"2026-08-30T13:36:08.509631Z","company_name":"Torc Robotics","company_slug":"torc-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=torc.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1d0e5c45-aa5f-4a6c-9242-6092bf439e87"},{"id":"2e48eabd-8acf-4dc6-94f3-86f168c750a2","company_id":"11211527-9d36-43fc-9a9f-620a2432bb93","title":"Senior AI Full-Stack / Applications Engineer","slug":"senior-ai-full-stack-applications-engineer-11efaa57","description":"Who We Are \nAt OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.\n  \n \n \n About the Opportunity \n OKX’s Internal Audit function has an early-stage, working AI-native capability: live dashboards, agentic workflows, and AI-powered apps that let a very small team punch far above its weight. Your job is not to rebuild it at today’s maturity. Your job is to take it to a regulator-grade production standard and well beyond , and to drive AI Enablement across the department. You own the products people touch: the real-time dashboards that drive Chief Audit Executive and board reporting , the computer-assisted audit technique (CAAT) and continuous-monitoring surfaces auditors work from, and the agentic, AI-powered apps that make the team faster, and you get auditors to adopt them. You build on the platform’s runtime and harness rather than reinventing them. We hire on demonstrated building , not on claims or credentials. We expect you to be more capable than the hiring manager in your domain: you will co-own and challenge the tooling strategy, not just implement it. This is a two-person engineering team: you deploy, debug, and hotfix your counterpart’s stack when needed.\n  \n  \n What You’ll Be Doing \n Environment \n Cloud on AWS or GCP . Claude as the starting point in a deliberately multi-model architecture: Anthropic, OpenAI, Google, using the right model for each job, including plugins you build. Google Workspace for reporting and evidence. JIRA for the audit team’s workflow. Lark for team communications and alert bots. Today’s executive product ships largely as API-rendered Google Docs/Slides and branded PDF; you evolve that toward real applications without dropping the document standard. React / Next.js front-end, with testing and observability throughout. Treat this stack as the starting point, not a constraint: you build production-grade products end to end on what exists today, and you are expected to propose, prove, and adopt better tools as demand and capabilities evolve.\n \n In your first year \n \n A live, real-time Chief Audit Executive and board dashboard is in use for actual reporting.\n CAAT and continuous-monitoring surfaces are used by auditors in multiple real audits, with full-population testing live in at least two audit domains.\n Agentic, human-in-the-loop applications are part of the team's standard workflow: several in production, adoption measured and growing, and at least two demonstrably cutting cycle times, one in audit reporting and one in a board-cycle deliverable.\n The hiring manager is out of the delivery loop for dashboards, reports, and rendering pipelines: each has a runbook and an owner who is not him.\n \n How we assess demonstrated building \n We assess demonstrated building in ways that respect your time and your confidentiality obligations to current and former employers: a portfolio deep-dive (walk us through applications you built and kept running, at the level of detail your obligations allow; we want architecture, decisions, and trade-offs, never proprietary code, data, or documents), a short, time-capped build exercise on a synthetic dataset unrelated to OKX's business (a live dashboard with drill-through, used for assessment only, never put to use by OKX, and the work remains yours) that you defend live, walking us through your design decisions and extending it on the spot, a working session on how you drove adoption with non-technical users, and references focused on whether you built and maintained applications in production.\n Trust and compliance \n This role handles highly sensitive audit data at a global crypto exchange. Expect background checks, confidentiality obligations, and personal-trading and material-non-public-information restrictions consistent with OKX policy. \n \n  \n What We Look For In You \n \n 6+ years building and maintaining full-stack web applications in production, owning them over time.\n Strong engineering fundamentals : data structures and algorithms, fluent Python (or a comparable backend language), and strong SQL and data modeling . True full-stack : from the data layer and SQL through resilient APIs to the UI, wired into the cloud (AWS or GCP).\n Strong ","salary_min":178000,"salary_max":321000,"location":"San Jose, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["payments","agents","computer-graphics","cloud","healthcare","fullstack"],"apply_url":"https://job-boards.greenhouse.io/okx/jobs/7813272003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-22T21:01:59Z","expires_at":"2026-09-29T13:42:37.047229Z","created_at":"2026-07-24T14:12:12.68589Z","updated_at":"2026-08-30T13:42:37.179639Z","company_name":"OKX","company_slug":"okx","company_logo_url":"https://www.google.com/s2/favicons?domain=okx.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/2e48eabd-8acf-4dc6-94f3-86f168c750a2"},{"id":"9118520e-8738-4408-9fbc-600665852041","company_id":"3dacb2af-b4b4-42ae-9b16-4e0203d290e4","title":"Machine Learning Engineer, Perception","slug":"machine-learning-engineer-perception-53bf19fe","description":"About Wing:  \n Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. \n About the Role: \n Wing is looking for a Machine Learning Engineer to join our Perception team . This role is hybrid based in Palo Alto, CA . You will be at the forefront of advancing our autonomous drone delivery system, leveraging deep learning to ensure our aircraft navigate the world with precision and safety.  At Wing, you aren’t just building models in a vacuum; you have access to tens of thousands of hours of flight data from a diverse sensor suite. Your improvements will deploy directly to a large fleet of autonomous aircraft, impacting thousands of real-world customers daily. We value senior engineers who are intrinsically driven and have a knack for solving complex problems with stunningly simple, pragmatic solutions.\n What You’ll Do:  \n \n Design \u0026 Deploy: Build and deploy highly reliable ML solutions both for the backend as well as optimized for resource-constrained, real-time environments.\n Monitor and Improve: Support and improve existing ML models and infrastructure, sharing in the team’s expertise.\n Collaborate: Partner across hardware, software, and flight-testing teams to take features from concept to production-ready flight code.\n \n What You’ll Need:  \n \n 3+ years of experience in ML, deep learning, or computer vision, ideally within robotics or autonomous systems.\n MS degree in Computer Science, Robotics, Aerospace, Mechanical Engineering or 2 years of experience working on problems involving above mentioned skills in a directly related field\n Excellent software design and implementation skills\n Proficiency in Python and/or C++.\n Hands-on experience with JAX, PyTorch, or TensorFlow, building training/inference/validation pipelines.\n Familiarity with  modern CV architectures (CNNs, Transformers, etc.).\n Domain Expertise: Hands on experience in one or more of the following domains:\n \n Multi-view Geometry \u0026 3D Reconstruction.\n Monocular or Stereo Depth Estimation.\n Object detection, localization, Semantic Segmentation.\n Local and global image features\n Vision foundation models, VLMs, VLAs\n \n Ability to design and implement well thought-out simple solutions to business critical problems\n The US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process. \n Salary Range\n $190,000 — $202,000 USD \n Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.\n If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our  Candidate Accommodations Request Form .","salary_min":190000,"salary_max":202000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"mid","tags":["generative-ai","cloud","robotics","computer-vision","computer-graphics","pytorch","tensorflow","deep-learning"],"apply_url":"https://wing.com/careers/8604818002?gh_jid=8604818002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-21T18:34:07Z","expires_at":"2026-09-29T13:47:57.24994Z","created_at":"2026-07-22T14:18:52.223593Z","updated_at":"2026-08-30T13:47:57.378112Z","company_name":"Wing","company_slug":"wing","company_logo_url":"https://www.google.com/s2/favicons?domain=wing.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9118520e-8738-4408-9fbc-600665852041"},{"id":"1638ce94-7f19-4eec-8ace-715235684e3e","company_id":"3dacb2af-b4b4-42ae-9b16-4e0203d290e4","title":"Staff Machine Learning Engineer, Simulation ","slug":"staff-machine-learning-engineer-simulation-65591d41","description":"About Wing:  \n Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. \n About the Role: \n Wing is looking for a Staff Machine Learning Engineer, Simulation to join our Simulation team. This role is hybrid based in Palo Alto. \n Simulation is a core technology for Wing. We provide essential tools for R\u0026D and are critical to ensuring the reliability of our fleet of autonomous aircraft. The simulation team’s work spans vehicle physics and sensor modeling, large-scale simulation frameworks, test infrastructure for backend verification and integrated avionics and system testing.\n The Staff Machine Learning Engineer, Simulation is a foundational role for someone who thrives on both technical execution and strategic growth. You will be a key driver in integrating advanced ML techniques into Wing’s simulation stack. You will define and execute the strategy for enhancing simulator realism, and develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms to model the real world.\n What You’ll Do:  \n \n Lead the design, development and deployment of world models and generative systems for realistic and controllable sensor generation for large-scale simulation at Wing’s autonomous system.\n Develop generative pipelines to build high-fidelity synthetic datasets, leveraging SOTA multimodal models, diffusion techniques and world-models to simulate complex 4D environments.\n Partner with research teams across Alphabet to integrate advanced modeling techniques.\n Champion sim-to-real efforts, using domain adaptation and transfer learning techniques to ensure our simulated models faithfully capture the behaviors of  physical, on-vehicle systems.\n Apply VLMs to enhance the understanding and controllability of our world simulation products.\n Play a pivotal role in shaping the broader AI infrastructure across the organization, establishing best practices, optimizing workflow management for large-scale training, and championing foundational AI initiatives.\n \n What You’ll Need:  \n \n 12+ years of experience developing and designing machine learning applications, autonomous systems, or simulation platforms.B.S, M.S., or Ph.D. degree or equivalent practical experience in Computer Science, Machine Learning, Robotics, or a related field.\n Demonstrated ability to lead technical ML projects of significant scope and complexity, driving initiatives from research to production-ready solutions.\n Deep expertise in 3D World Modeling or 3D computer vision.\n Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting).\n In-depth knowledge of generative AI, predictive world models, autoregressive models, or self-supervised learning from multi-modal sensor streams.\n Hands-on experience with sim-to-real transfer, domain adaptation, and world models.\n Experience developing testing frameworks and evaluating ML models for edge cases and rare events in complex systems.\n The US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process. \n Salary Range\n $274,000 — $292,000 USD \n Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.\n If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our  Candidate Accommodations Request Form .","salary_min":274000,"salary_max":292000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["computer-vision","generative-ai","cloud","robotics","computer-graphics","machine-learning"],"apply_url":"https://wing.com/careers/8607033002?gh_jid=8607033002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-17T18:11:59Z","expires_at":"2026-09-29T13:47:58.848833Z","created_at":"2026-07-18T14:18:46.136127Z","updated_at":"2026-08-30T13:47:58.978887Z","company_name":"Wing","company_slug":"wing","company_logo_url":"https://www.google.com/s2/favicons?domain=wing.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/1638ce94-7f19-4eec-8ace-715235684e3e"},{"id":"f12c12c4-a7d1-45a9-aeb2-8c7854cf805a","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Software Engineer, AI Native Web Platform","slug":"staff-software-engineer-ai-native-web-platform-33e5b1da","description":"Staff Software Engineer, AI-Native Web Platform \n GAQ327R228 \n About Us: \n The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. \n The Role: \n As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents.  \n This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. \n The impact you’ll have : \n \n Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start.  \n Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks.  \n Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring.  \n Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.  \n Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice. \n \n What we look for: \n \n 12+ years of software engineering experience, with a strong track record of technical leadership and impact. \n 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. \n Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure \n Deep hands-on expertise across the full web stack like React, TypeScript, Node.js. \n Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform \n Experience sequencing and executing frontend framework migrations without disrupting production  \n A clear point of view on AI-native software development and a track record of building toward it \n Familiarity with agentic systems or LLM-powered tooling is a strong plus. \n Strong ability to influence technical leaders and drive alignment across engineering and business stakeholders \n History of driving technical transformation with rigor and execution discipline: stack consolidation, or platform-level standards adoption at scale \n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . \n  \n Zone 1 Pay Range\n $198,200 — $272,600 USD \n About Databricks \n Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT\u0026T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . \n Our Commitment to Diversity and Inclusion \n At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression","salary_min":198200,"salary_max":272600,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["computer-graphics","llm","code-generation","agents","platform"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8635188002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T20:30:46Z","expires_at":"2026-09-29T13:32:35.253563Z","created_at":"2026-07-16T14:02:35.024216Z","updated_at":"2026-08-30T13:32:35.398705Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/f12c12c4-a7d1-45a9-aeb2-8c7854cf805a"},{"id":"021f3b70-f0d5-4666-a5e1-431d120b0e63","company_id":"31ae48bc-c938-4c26-a348-0bf3c089a446","title":"Senior Software Engineer - GPU Kernel Authoring \u0026 Optimization","slug":"senior-software-engineer-gpu-kernel-authoring-optimization-d4eed12b","description":"CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at  www.coreweave.com . \n About the role: \n CoreWeave is the top-rated AI-cloud for high-performance GPU infrastructure across AI/ML, visual effects, rendering, and real-time inference. Our stack is engineered for speed, scale, and cost-efficiency—an unmatched alternative to traditional hyperscalers. At CoreWeave, infrastructure is the product.\n We're looking for a Senior Engineer for CoreWeave's Benchmarking \u0026 Performance team, focused on kernel authoring and optimization. You will write, profile, and tune the GPU kernels that sit on the critical path of large-scale model serving—squeezing maximum throughput and minimum latency out of every SM, tensor core, and byte of memory bandwidth. You will also aid us in achieving industry-leading end-to-end performance benchmarking publications such as MLPerf.\n You will be an owner who leads designs, raises engineering standards, and delivers measurable improvements to latency, throughput, and reliability across our inference stack. You'll partner with product, orchestration, and hardware teams to turn kernel-level wins into end-to-end gains and meet strict P99 SLAs at scale.\n \n Author, profile, and optimize CUDA kernels—GEMMs, attention, MoE routing, quantization, KV-cache, and fused epilogues—on the critical path of LLM inference.\n Optimize for the hardware: exploit tensor cores and tune occupancy, memory coalescing, shared-memory/register usage, and overlap of compute with data movement.\n Use kernel-authoring DSLs and compilers to prototype and ship kernels quickly without sacrificing performance.\n Benchmark rigorously: build reproducible microbenchmarks and roofline analyses, and validate that kernel-level wins translate to end-to-end latency/throughput gains across model-serving stacks (vLLM, TensorRT-LLM, llm-d, SGLang).\n Implement and maintain benchmarking workflows for end-to-end MLPerf Inference (and Training) runs, including workload setup, cluster configuration, runbooks, and result validation.\n Lead design reviews and drive architecture within the team; decompose multi-service work into clear milestones.\n Mentor junior engineers; review cross-team designs and elevate coding/testing standards.\n Help ensure reproducible, well-documented benchmarking and kernel-optimization processes.\n \n Who You Are: \n \n 5+ years of experience building high-performance computing, GPU/accelerator software, or performance-critical systems.\n Hands-on CUDA experience is required—you have written and optimized custom kernels and are fluent with the CUDA programming and memory model.\n Deep understanding of GPU architecture and performance: tensor cores, warp/occupancy tuning, the memory hierarchy and bandwidth, NVLink/PCIe, and profiling with Nsight Compute/Systems.\n Strong coding in C++ and Python; comfortable reading and writing low-level, performance-sensitive code.\n Familiarity with model-serving stacks (vLLM, TensorRT-LLM, llm-d, SGLang) and the kernels that dominate their inference cost.\n Strong communicator comfortable collaborating with cross-functional teams and external partners.\n \n Preferred: \n \n Triton or Mojo for authoring custom GPU kernels — highly desired.\n CuTe DSL for Python-based kernel authoring on NVIDIA GPUs.\n JAX and its Pallas kernel language for authoring kernels on GPU/TPU.\n HIP / ROCm and AMD GPU experience.\n NCCL and collective-communication performance.\n Experience with alternative accelerators such as Google TPUs and Meta's MTIA.\n Familiarity with kernel-authoring DSLs and nano-compilers such as KNYFE and its Block DSL.\n Experience with Kubernetes at production scale.\n Experience with SUNK (Slurm on Kubernetes) / Slurm for scheduling large GPU jobs.\n Experience running MLPerf submissions or similar large-scale audited benchmarks.\n Contributions to OSS projects such as vLLM, SGLang, PyTorch, Triton, or CUTLASS.\n \n Wondering if you're a good fit? \n We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.\n Why CoreWeave? \n Help shape an industry-defining inference platform that enables teams to deploy generative AI and real-time applications at scale. If squeezing every last microsecond out of GPU kernels and delivering reliable model serving excites you, this is the place to build. We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly ","salary_min":182000,"salary_max":242000,"location":"Sunnyvale, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["mlops","pytorch","jax","computer-graphics","generative-ai","llm","gpu"],"apply_url":"https://coreweave.com/careers/job?4697100006\u0026board=coreweave\u0026gh_jid=4697100006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T22:01:55Z","expires_at":"2026-09-29T13:35:28.56682Z","created_at":"2026-07-15T14:06:51.909822Z","updated_at":"2026-08-30T13:35:28.702215Z","company_name":"CoreWeave","company_slug":"coreweave","company_logo_url":"https://www.google.com/s2/favicons?domain=coreweave.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/021f3b70-f0d5-4666-a5e1-431d120b0e63"},{"id":"26f6fd92-b550-42db-86b5-5699c2c31afc","company_id":"75dcf7c0-5121-45f1-8d1b-6bfbfe15072f","title":"Helix AI Engineer, Localization and Mapping","slug":"helix-ai-engineer-localization-and-mapping-9de55455","description":"Figure is on a mission to develop and deploy general purpose humanoid robots for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are looking for passionate and motivated superstars to grow our world-class team. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. It’s time to build.\n Figure’s vision is to deploy autonomous humanoids at a global scale. Our AI team is looking for Localization and Mapping Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments.\n Responsibilities: \n \n Architect and implement real-time localization, ego-motion tracking, and state estimation systems by fusing multi-modal sensor data (cameras, IMUs, encoders, magnetic sensors).\n Build and maintain scalable, offline pose-tracking pipelines to process large-scale training data from diverse sources.\n Develop and optimize multi-sensor calibration systems for humanoid robotics and data collection platforms.\n Partner with cross-functional teams to build comprehensive, data-driven evaluation and testing frameworks.\n Design, engineer, and deploy high-quality, reliable software solutions for real-world robotics applications.\n \n Required Qualifications: \n \n Deep technical expertise in solving complex estimation and nonlinear optimization problems.\n Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques, including feature matching/tracking, and Structure from Motion (SfM).\n Experience writing performant C++ software.\n Hands-on experience with sensor calibration (e.g., multi-camera and IMU intrinsics/extrinsics).\n Ability to thrive in a fast-paced, ambiguous environment that requires rapid exploration and iteration.\n Passion for advancing humanoid robotics technology.\n \n Bonus Qualifications: \n \n Experience implementing visual-inertial SLAM systems on legged robotic platforms.\n Background in estimation problems related to human motion capture or AR/VR applications.\n Experience applying state-of-the-art Deep Learning approaches to SLAM, 3D reconstruction, or human pose estimation.\n \n The US base salary range for this full-time position is between $200,000 - $400,000\n The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.","salary_min":200000,"salary_max":400000,"location":"San Jose, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["computer-vision","deep-learning","robotics","computer-graphics","fine-tuning"],"apply_url":"https://job-boards.greenhouse.io/figureai/jobs/4696533006","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T16:02:44Z","expires_at":"2026-09-29T13:36:23.007161Z","created_at":"2026-07-15T14:07:52.665427Z","updated_at":"2026-08-30T13:36:23.140974Z","company_name":"Figure AI","company_slug":"figure-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=figure.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/26f6fd92-b550-42db-86b5-5699c2c31afc"},{"id":"cee966ef-dc7a-45db-bf97-14204cb94e3a","company_id":"e8dfc4ee-9649-4fd0-9c16-90d38a1954e1","title":"Software Engineer, Robotics Infrastructure - Autonomy \u0026 Robotics, DoorDash Air","slug":"software-engineer-robotics-infrastructure-autonomy-robotics-doordash-air-79e07e8f","description":"About the Team\n DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you!\n About the Role\n We're hiring a Robotics Infrastructure Engineer in our Autonomy Software team. In this role, you'll own, build, and manage the infrastructure that makes aerial autonomy development possible. You'll work on the onboard systems that keep a drone alive (process management, health monitoring, parameterization) and the development environment that makes the team fast (build systems, CI/CD, logging, debugging, regression testing). This is not cloud infrastructure. This is real-time, fault-tolerant, onboard software for vehicles that cannot gracefully restart at 50 meters altitude.\n You're excited about this opportunity because you will… \n \n Play an integral role on a small and focused team\n Develop and own critical onboard components: process management, health monitoring, configuration management, and message passing\n Own the build system (C++, Python) and middleware layer (ROS2), including cross-compilation for Jetson targets\n Design and maintain CI/CD pipelines and regression testing infrastructure\n Build and manage the parameterization system, including schema definition, validation, migration, and deployment\n Build robotics logging, plotting, and debugging tools that make the entire team more productive\n Work closely with the simulation team to support SIL/HIL development workflows\n Define reliability standards for onboard software: watchdogs, failover, and graceful degradation\n \n We're excited about you because… \n \n You have prior experience at a robotics company in a similar infrastructure role\n You have experience with robotics middleware (ROS2, LCM, eCal, Apex.AI)\n You have experience with build systems and package managers (CMake, Bazel, Nix, Conan)\n You have experience with NVidia Jetson and JetPack\n You have experience with robotics logging and visualization (RViz, Foxglove, Rerun, Plotly)\n You have strong C++ and Python skills, and you're comfortable with systems-level debugging\n You love diving into build system and compiler internals (LLVM, linker behavior, optimization passes)\n You want to own and define a critical layer of infrastructure, not just contribute to one\n You get excited about rendering and plotting robot internals, and you treat observability as a first-class problem\n You're driven by a passion for delivering outstanding customer experiences\n You have a proactive approach to development, often crafting new tools\n BS/MS/PhD in CS, EE, ME, Robotics, or related field\n \n Nice to have experience includes:\n \n \n \n Experience designing fault-tolerant systems for safety-critical applications (aerospace, automotive, medical)\n Contributions to open-source robotics tooling\n Experience with deterministic replay or time-travel debugging for robotics\n Familiarity with DO-178C or similar certification-aware development processes\n Experience with Nix for reproducible robotics builds\n You have informed opinions on process supervision (systemd vs custom vs supervisord) and can articulate the tradeoffs\n You've debugged DDS/middleware issues under real-time constraints on embedded hardware\n \n \n  \n Compensation \n The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.\n In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.\n DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.\n To learn more about our benefits, visit our careers page here .\n See below for paid time off details:\n \n For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.\n For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 h","salary_min":168000,"salary_max":247000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","computer-graphics","robotics","cloud","fine-tuning","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/doordashusa/jobs/8046909","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T19:38:40Z","expires_at":"2026-09-29T13:49:21.23152Z","created_at":"2026-07-29T14:19:28.653538Z","updated_at":"2026-08-30T13:49:21.36111Z","company_name":"DoorDash","company_slug":"doordash","company_logo_url":"https://www.google.com/s2/favicons?domain=doordash.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/cee966ef-dc7a-45db-bf97-14204cb94e3a"},{"id":"e0f11db3-8d1a-40a1-8b69-fbd2ae72c828","company_id":"e8dfc4ee-9649-4fd0-9c16-90d38a1954e1","title":"Staff Simulation Engineer - Foundry, DoorDash Air","slug":"staff-simulation-engineer-foundry-doordash-air-669127d1","description":"Role Overview \n We are seeking a Staff Simulation Engineer to build an end-to-end aerial autonomy simulation stack at DoorDash Labs. This is a highly technical, hands-on leadership role focused on defining and implementing the simulation architecture that underpins autonomy development, validation, CI/CD testing, and pilot training.\n You will operate as the technical authority for simulation: owning core architecture decisions, developing key components yourself, and setting engineering standards. You will build and mentor a small, high-caliber simulation team while remaining deeply involved in implementation and system design.\n This role is ideal for someone who has built simulation systems from first principles, understands simulator internals deeply, and is excited to create a world-class platform from scratch.\n Key Responsibilities \n \n Architect and implement an end-to-end simulation stack for aerial autonomy at DoorDash Labs..\n Develop high-fidelity simulation capabilities, including:\n \n Flight dynamics modeling\n Contact modeling and constraint handling\n Sensor and perception simulation\n Autonomy software-in-the-loop (SITL) integration\n \n Design and implement scalable simulation infrastructure to support:\n \n Regression testing in CI/CD pipelines\n Continuous validation of flight autonomy and autopilot software stack\n Mission-level testing and scenario generation\n \n Build cloud-deployed simulation systems to enable large-scale parallel testing and pilot training.\n Partner closely with autonomy, controls, and aircraft teams to ensure simulation fidelity and validation alignment.\n Establish technical direction, architecture standards, and performance benchmarks for simulation.\n Mentor and grow a small team of simulation engineers while remaining deeply hands-on.\n \n Required Qualifications \n \n Master’s or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related field.\n 10+ years of experience in robotics or physics-based simulation.\n Deep expertise in simulator internals, including:\n \n Numerical integration methods\n Rigid-body dynamics and contact modeling\n Constraint solving formulations\n Collision detection algorithms\n Rendering pipelines and sensor simulation\n Performance tradeoffs and large-scale optimization\n \n Experience integrating simulation environments with robotics autonomy stacks.\n Proven experience architecting complex technical systems from scratch.\n Demonstrated technical leadership as a Principal Engineer or equivalent senior technical role.\n Strong system-level thinking with the ability to balance fidelity, scalability, and development velocity.\n \n Preferred Qualifications \n \n Experience implementing a simulator from scratch (professional or personal projects).\n Familiarity with modern robotics simulators such as MuJoCo, Gazebo, Isaac, Newton, Genesis, or similar frameworks.\n Published research in robotics simulation, dynamics, or related areas.\n Hands-on experience building and operating robotic or UAV systems.\n Experience with aerospace, UAV flight dynamics, or safety-critical autonomous systems.\n Experience deploying simulation infrastructure in cloud environments for large-scale distributed testing.\n Compensation \n The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.\n In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.\n DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.\n To learn more about our benefits, visit our careers page here .\n See below for paid time off details:\n \n For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.\n For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).\n \n The national base pay range for this position within the United States, including Illinois and Colo","salary_min":198600,"salary_max":292000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["robotics","cloud","computer-graphics","healthcare","fine-tuning"],"apply_url":"https://job-boards.greenhouse.io/doordashusa/jobs/8046994","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-07T18:32:55Z","expires_at":"2026-09-29T13:49:21.896661Z","created_at":"2026-07-29T14:19:29.007608Z","updated_at":"2026-08-30T13:49:22.027885Z","company_name":"DoorDash","company_slug":"doordash","company_logo_url":"https://www.google.com/s2/favicons?domain=doordash.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e0f11db3-8d1a-40a1-8b69-fbd2ae72c828"},{"id":"acfbd9d3-8fae-4816-9530-7b4f33fa0c29","company_id":"af3a34e9-b9f3-4d69-bcf2-f13327711b7d","title":"Senior Simulation Engineer - Core Simulation Platform","slug":"senior-simulation-engineer-core-simulation-platform-4a4136dc","description":"Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.\n JOB SUMMARY \n At the core of every robot policy we ship is a simulation platform that has to be fast enough for RL training, accurate enough for controls validation, and stable enough to be the team’s daily driver. As Staff Simulation Engineer for Core Simulation Platform, you’ll contribute to the architecture and development of that platform alongside senior team members, applying strong C++ and Python skills, robotics fundamentals, and modern simulator experience to keep the platform robust, performant, and parallel.\n ESSENTIAL DUTIES AND RESPONSIBILITIES \n \n Contribute to the architecture and development of the core simulation platform — high-performance digital twins that serve as the foundation for policy training, controls validation, and CI/CD integration testing.\n Help build and scale cloud-native simulation pipelines capable of generating millions of experience hours per day, parallelizing physics and rendering for rapid policy iteration.\n Improve sim-to-real transfer through advanced contact models and actuator dynamics that help policies trained in simulation transfer to physical humanoid hardware.\n Develop sensor-realistic environments (camera, LiDAR, depth) that challenge the perception stack with dynamic and diverse worlds.\n Ship platform improvements that visibly reduce iteration time for RL, controls, and perception teams.\n Work with Controls, AI Research, and Perception teams to support their evolving simulation needs as the platform grows.\n \n SKILLS AND REQUIREMENTS \n \n Excellent C++ and/or Python programming skills\n Familiar with software development best practices: CI/CD, automated testing, and code quality standards\n Understanding of robotics concepts: kinematics, dynamics, controls, system identification\n Experience with modern robotic simulators (Isaac Lab, MuJoCo, or equivalent)\n Understanding of Reinforcement Learning with research or production experience\n Experience with large-scale training workloads — deploying parallel simulations on cloud platforms (AWS, GCP, Azure) with distributed computing frameworks (e.g., Ray, Kubernetes)\n \n EDUCATION and/or EXPERIENCE \n \n Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or related field (or equivalent experience)\n 5+ years of experience in robotic simulation, software engineering, or related fields\n \n PHYSICAL REQUIREMENTS: \n \n Prolonged periods of sitting at a desk and working on a computer\n Must be able to lift 15 pounds at times\n Vision to read printed materials and a computer screen\n Hearing and speech to communicate\n \n The annual salary range is $165,000 - $200,000.\n  \n  \n *This is a direct hire.  Please, no outside Agency solicitations. \n Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.","salary_min":165000,"salary_max":200000,"location":"Sunnyvale, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","reinforcement-learning","healthcare","robotics","computer-graphics"],"apply_url":"https://boards.greenhouse.io/apptronik/jobs/6085871004?gh_jid=6085871004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-17T17:58:17Z","expires_at":"2026-09-29T13:42:55.211414Z","created_at":"2026-06-28T14:12:12.377397Z","updated_at":"2026-08-30T13:42:55.35097Z","company_name":"Apptronik","company_slug":"apptronik","company_logo_url":"https://www.google.com/s2/favicons?domain=apptronik.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/acfbd9d3-8fae-4816-9530-7b4f33fa0c29"},{"id":"30aa9e4f-cf43-4bdf-931e-3a8d629c8e40","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Software Engineer, Perception","slug":"software-engineer-perception-88086e11","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n The Tactical Recon \u0026 Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces. \n ABOUT THE JOB\n We are seeking Software Engineers specializing in Computer Vision and Machine Learning Engineering. You will leverage cutting-edge research to solve our most challenging perception problems for our UAVs, bringing deep expertise in Object Detection, Object Tracking, or related perception domains. This role requires hands-on proficiency in C++ and/or Python within a Linux environment. If you are passionate about tackling complex technical challenges in computer vision and perception, we encourage you to apply.\n This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided). \n WHAT YOU’LL DO\n \n Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field.\n Develop and maintain core libraries and runtime applications.\n Integrate classical and geometric methods in computer vision with ML methods.\n Work with ML and Data Infra team to construct various benchmarks for analyzing system performance.\n \n REQUIRED QUALIFICATIONS\n \n MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision.\n BS in Computer Science, Machine Learning, Electrical Engineering, or related field.\n 2+ years experience developing and benchmarking ML algorithms on large-scale datasets.\n High proficiency in C++ development in a Linux environment.\n Experience deploying models with TensorRT and ONNX.\n Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow.\n Experience writing and maintaining automated continuous integration tests.\n Experience in one or more of the following:\n \n Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection.\n \n Experience in one or more of the following:\n \n Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion.\n \n Eligible to obtain and maintain an active U.S. Secret security clearance. \n \n PREFERRED QUALIFICATIONS\n \n Experience troubleshooting and analyzing remotely deployed software systems.\n Proficient in Python.\n Proficient in CUDA.\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial Requests","salary_min":191000,"salary_max":253000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"junior","tags":["deep-learning","pytorch","gpu","robotics","cloud","computer-graphics","tensorflow","computer-vision"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5165250007?gh_jid=5165250007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-15T19:48:50Z","expires_at":"2026-09-29T13:37:27.944772Z","created_at":"2026-06-28T14:06:53.871206Z","updated_at":"2026-08-30T13:37:28.081312Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/30aa9e4f-cf43-4bdf-931e-3a8d629c8e40"},{"id":"120aaf07-2626-4db7-89ec-1c85e3f57fa3","company_id":"332b7698-676b-4a3e-8b02-81b1195c5af6","title":"Staff Software Engineer, AI Native Web Platform","slug":"staff-software-engineer-ai-native-web-platform-332493c5","description":"Staff Software Engineer, AI-Native Web Platform \n P-1579 \n About Us: \n The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to the world. We are rebuilding the platform from the ground up, AI-native from the start, and pioneering an agentic SDLC as our operating model. \n The Role: \n As Staff Software Engineer on the Web Platform team, reporting to the Director of Engineering, you will own the platform layer that the rest of the team builds on: web framework, design system, CMS, infrastructure, CI/CD pipelines, AI-enabled translation, and SDLC agents.  \n This is a rare opportunity to design a web platform for an AI-native world from the ground up. The north star architecture is being defined now and you will be a primary author of it. You will partner with technical leaders across web and marketing engineering, and set the standard for what AI-native platform engineering looks like in practice. \n The impact you’ll have : \n \n Define the technical roadmap for the web platform: component systems, rendering architecture, CMS, CI/CD pipelines, and developer tooling, built AI-native from the start.  \n Influence technical leaders across the organization on shared architectural decisions and contribute to the broader north star for AI-native engineering at Databricks.  \n Pioneer an AI-native SDLC by applying agentic unlocks across code generation, testing, review, deployment, and production monitoring.  \n Define the evaluation frameworks, guardrails, and feedback loops that make agentic workflows reliable and production-grade.  \n Mentor and grow engineers on the team, setting the standard for what AI-native thinking and execution looks like in practice. \n \n What we look for: \n \n 12+ years of software engineering experience, with a strong track record of technical leadership and impact. \n 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. \n Proven track record as a technical leader of a web platform, with direct ownership across design systems, rendering frameworks, and understanding of edge delivery, CI/CD and infrastructure \n Deep hands-on expertise across the full web stack like React, TypeScript, Node.js. \n Demonstrated ability to make and execute multi-layer architectural decisions on a live production platform \n Experience sequencing and executing frontend framework migrations without disrupting production  \n A clear point of view on AI-native software development and a track record of building toward it \n Familiarity with agentic systems or LLM-powered tooling is a strong plus. \n Strong ability to influence technical leaders and drive alignment across engineering and business stakeholders \n History of driving technical transformation with rigor and execution discipline: stack consolidation, or platform-level standards adoption at scale \n  \n Pay Range Transparency \n Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . \n  \n Zone 1 Pay Range\n $198,200 — $272,600 USD \n About Databricks \n Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT\u0026T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . \n Our Commitment to Diversity and Inclusion \n At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, la","salary_min":198200,"salary_max":272600,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["computer-graphics","code-generation","llm","agents"],"apply_url":"https://databricks.com/company/careers/open-positions/job?gh_jid=8560783002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-11T16:06:33Z","expires_at":"2026-09-29T13:32:35.158538Z","created_at":"2026-06-28T14:02:15.535602Z","updated_at":"2026-08-30T13:32:35.300453Z","company_name":"Databricks","company_slug":"databricks","company_logo_url":"https://www.google.com/s2/favicons?domain=databricks.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/120aaf07-2626-4db7-89ec-1c85e3f57fa3"},{"id":"e575689b-f802-4016-97b0-b14bb2985c62","company_id":"af3a34e9-b9f3-4d69-bcf2-f13327711b7d","title":"Senior Product Manager - Simulation","slug":"senior-product-manager-simulation-4ab4974e","description":"Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.\n JOB SUMMARY \n As a Technical Product Manager - Simulation, you will focus on driving the product vision, ensuring seamless execution across the complex hardware/software divide, and translating market demands into user oriented, executable product roadmaps. \n ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES \n \n Own and maintain the simulation platforms roadmap: scope, sequencing, and feature priorities.\n Drive the technical definition of simulation environments focusing on perception, autonomy, and navigation for robot fleets.\n Define and prioritize use cases for simulating realistic customer environments to enable thorough testing before real-world deployment.\n Ensure that the simulation platform features a highly configurable and intuitive UX viable for developers to easily create, modify, and analyze test scenarios.\n Define and prioritize use cases based on business impact, feasibility, and customer needs.\n Ensure that product development efforts align with real-world economic value for customers.\n Synthesize insights from user research, customer meetings, usage data, and sales feedback into a strategy that delivers business objectives and customer benefits.\n Define product features/enhancements and communicate requirements to engineering teams via clearly written requirements documents, diagrams, and concise verbal communication.\n Support product marketing initiatives, partner relationships, and other opportunities to accelerate the adoption of your products.\n \n SKILLS AND REQUIREMENTS \n \n Demonstrated experience in developing or managing simulation environments, simulation-in-the-loop testing frameworks, or developer tools.\n Experience working with physics engines, robotic simulation engines, rendering pipelines, or digital twins for industrial environments.\n Strong analytical skills with experience in performance tracking and data-driven decision-making.\n Excellent communication skills, both verbal and written, to translate technical insights into business impact.\n You make decisions in uncertainty, prioritizing velocity over perfection\n You prioritize user feedback, promoting that voice to internal teams.\n Nice to Have: \n \n \n \n \n Experience with autonomous robots or autonomous vehicles.\n Experience with Unity, Issac, or MuJoCo.\n Experience generating synthetic data for perception, autonomy, and navigation stacks.\n Background in developing UI/UX for complex technical or developer-facing tools.\n \n \n EDUCATION and/or EXPERIENCE \n \n 7+ years of experience in product management, or engineering roles.\n \n PHYSICAL REQUIREMENTS \n \n Prolonged periods of sitting at a desk and working on a computer   \n Must be able to lift 15 pounds at times \n Vision to read printed materials and a computer screen\n Hearing and speech to communicate\n \n The annual salary range is $190,000 - $223,000 base  \n  \n  \n  \n *This is a direct hire.  Please, no outside Agency solicitations. \n Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.","salary_min":190000,"salary_max":223000,"location":"Sunnyvale, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","autonomous-vehicles","robotics","computer-graphics"],"apply_url":"https://boards.greenhouse.io/apptronik/jobs/6007496004?gh_jid=6007496004","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-27T19:15:34Z","expires_at":"2026-09-29T13:42:54.719315Z","created_at":"2026-06-28T14:12:11.910201Z","updated_at":"2026-08-30T13:42:54.853865Z","company_name":"Apptronik","company_slug":"apptronik","company_logo_url":"https://www.google.com/s2/favicons?domain=apptronik.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e575689b-f802-4016-97b0-b14bb2985c62"},{"id":"ca361999-a257-4f45-8f2b-cb4adf47d43f","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior, ML Engineer - Auto Tagging","slug":"senior-ml-engineer-auto-tagger-1b6f7b83","description":"About the Company   \n At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.  Now a part of the Daimler family , we are focused solely on developing software for automated trucks to transform how the world moves freight. J oin us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    \n Meet The Team:   \n The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.   \n What You'll Do:   \n \n Scenario Mining at Scale:  Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events. \n Advanced Event Tagging:  Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios. \n Standardized Data Structuring:  Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity. \n Data Flywheel Integration:  Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation. \n Cross-Functional Alignment:  Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an \"interesting scenario\" and operationalize a continuous data loop. \n Mentorship \u0026 Team Growth:  Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving.   \n \n What You'll Need to Succeed:   \n \n BS or MS  in Computer Science, Robotics, Engineering, or a STEM field, with  6+ years  in data engineering, ML systems, or autonomous data curation. \n Core Languages:  Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets. \n ML \u0026 Dataset Curation:  Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance. \n Data Exploration:  Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable. \n Cloud \u0026 Compute:  Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads. \n AV Standards:  Experience parsing complex data formats and applying scenario-description standards like Pegasus layers. \n Communication:  Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders. \n Technical Leadership:  Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.   \n \n Bonus Points!   \n \n Auto-labeling \u0026 VLMs:  Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction. \n Model Serving:  Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference \n Semantic Inference:  Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection. \n Data Tooling:  Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow). \n Downstream Integration:  Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation. \n Advanced Retrieval:  Experience building semantic retrieval systems or vector databases for automotive data.   \n \n Perks of Being a Torc’r    \n Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and fu","salary_min":177300,"salary_max":212800,"location":"Ann Arbor, MI","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","computer-graphics","llm","fine-tuning","data-pipeline","payments","robotics","computer-vision"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8554970002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-05-20T20:52:45Z","expires_at":"2026-09-29T13:36:07.807526Z","created_at":"2026-05-27T14:05:54.67339Z","updated_at":"2026-08-30T13:36:07.941701Z","company_name":"Torc Robotics","company_slug":"torc-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=torc.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/ca361999-a257-4f45-8f2b-cb4adf47d43f"},{"id":"fc0375b8-abaf-4329-8493-27fb7ac76863","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Software Engineer, Perception","slug":"senior-software-engineer-perception-a65cb0a6","description":"Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.\n ABOUT THE TEAM\n The Tactical Recon \u0026 Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers. We are looking for software engineers, hardware engineers, roboticists, and front-end mobile developers who are excited about creating a powerful robotics platform that can be tasked and viewed in real-time through a variety of interfaces. \n ABOUT THE JOB\n We are seeking Senior Software Engineers specializing in Computer Vision and Machine Learning Engineering. You will leverage cutting-edge research to solve our most challenging perception problems for our UAVs, bringing deep expertise in Object Detection, Object Tracking, or related perception domains. This role requires hands-on proficiency in C++ and/or Python within a Linux environment. If you are passionate about tackling complex technical challenges in computer vision and perception, we encourage you to apply.\n This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided). \n WHAT YOU’LL DO\n \n Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field.\n Develop and maintain core libraries and runtime applications.\n Integrate classical and geometric methods in computer vision with ML methods.\n Work with ML and Data Infra team to construct various benchmarks for analyzing system performance.\n \n REQUIRED QUALIFICATIONS\n \n MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision.\n BS in Computer Science, Machine Learning, Electrical Engineering, or related field.\n 4+ years experience developing and benchmarking ML algorithms on large-scale datasets.\n High proficiency in C++ development in a Linux environment.\n Experience deploying models with TensorRT and ONNX.\n Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow.\n Experience writing and maintaining automated continuous integration tests.\n Experience in one or more of the following:\n \n Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic change Detection.\n \n Experience in one or more of the following:\n \n Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion.\n \n Eligible to obtain and maintain an active U.S. Secret security clearance. \n \n PREFERRED QUALIFICATIONS\n \n Experience troubleshooting and analyzing remotely deployed software systems.\n Proficient in Python.\n Proficient in CUDA.\n US Salary Range\n $220,000 — $292,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.\n \n To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:\n \n \n No Financial R","salary_min":220000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["computer-vision","deep-learning","pytorch","tensorflow","gpu","computer-graphics","robotics","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5124926007?gh_jid=5124926007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-30T15:08:07Z","expires_at":"2026-09-29T13:37:25.354225Z","created_at":"2026-05-06T14:07:57.940727Z","updated_at":"2026-08-30T13:37:25.48894Z","company_name":"Anduril","company_slug":"anduril","company_logo_url":"https://www.google.com/s2/favicons?domain=anduril.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/fc0375b8-abaf-4329-8493-27fb7ac76863"}],"page":1,"per_page":20,"total":145,"total_is_exact":true,"total_pages":8}