{"access":{"advertiser_pricing_url":"https://aidevboard.com/pricing","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","mode":"open","register_url":"https://aidevboard.com/api/v1/register"},"degraded":false,"estimated":false,"has_next":true,"jobs":[{"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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . 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, language, national origin, physica","salary_min":198200,"salary_max":272600,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["llm","data-pipeline","computer-graphics","agents","code-generation","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":"2026-08-15T14:02:34.842853Z","created_at":"2026-07-16T14:02:35.024216Z","updated_at":"2026-07-16T14:02:35.024216Z","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":"b2503a2d-d800-43bc-9f84-11af04a6a4b4","company_id":"77beb456-fc80-40a4-b773-f0b17d1ece4c","title":"Generative AI - Graphics Engineer","slug":"generative-ai-graphics-engineer-429a27ce","description":"WHO YOU ARE\n\nWe are looking for skilled graphics engineer who have a deep command of modern C++ and GPU programming, a strong mathematical foundation, and an expert understanding of computer graphics—whether rendering, geometry processing, simulation, or advanced real-time techniques. You collaborate naturally with artists, researchers, and engineers, explaining complex ideas with clarity and learning from diverse perspectives. You’re not afraid of new ideas or unfamiliar pipelines. Most importantly, you’re excited to build the next generation of 3D creation technology—graphics systems that will empower millions of creators worldwide.\n\n\nWHO WE ARE\n\nAt Meshy, we believe 3D creation should be boundless and accessible. Our mission statement is simple: unleash creativity. We built a full pipeline for 3D content ranging from text / image to 3D, texturing, texture editing, animation rigging, etc. We also built a vibrant community for our creators, where people can share their work, take inspiration from others, and even use it as an asset marketplace for their games and prototypes. We are the market leader in 3D generative AI, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games survey), and we generate real value and is used by enterprises (including Meta, Square Enix, Deepmind, etc.) and millions of end users. Meshy is used in game and film production, in 3D printing, in industrial product design, in enablement of novel product features such as user-generated content, and even in training and simulation for robotics and physical AI.\n\n\nYOUR NEXT CHALLENGE\n\nAs a core member of Meshy’s algorithm team, you will design and build the next generation of high-performance graphics systems that power our 3D generative AI training and products. You will collaborate closely with graphics experts, generative AI researchers, and infrastructure engineers to enable new creative capabilities and push the boundaries of what AI-empowered 3D pipelines can achieve.\n\n \n\nIn this role, you will:\n\n - Build and optimize high-performance graphics components—rendering kernels, geometry processing operators, and supporting systems.\n\n - Develop robust production-quality pipelines that integrate with data pipelines, generative models and artist-facing applications.\n\n - Work across GPU clusters, cloud environments, and local DCC tools to ensure seamless interoperability and scalability.\n\n - Collaborate closely with artists, product teams, and ML researchers to translate creative requirements into technical implementations.\n\n - Contribute to internal tooling, demos, documentation, open-source initiatives, or technical reports that elevate Meshy’s graphics capabilities.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Expert-level C++ and GPU programming skills, with a strong ability to write high-performance, memory-efficient code.\n\n - Solid mathematical foundation with deep understanding of computer graphics—either rendering, geometry processing, or both.\n\n - Hands-on experience building production-grade graphics systems, such as rendering engines, geometry pipelines, asset tools, or similar large-scale systems.\n\n - Strong engineering discipline—clean code, reproducible results, rigorous profiling, and sustainable system design.\n\n - Working knowledge of major DCC tools (Houdini, Blender, Maya), including experience developing scripts, plug-ins, or custom tools within these environments is a plus.\n\n - Experience in AAA game development, VFX pipelines, or other high-end 3D production environments is a plus.\n\n - Demonstrated contributions to open-source graphics projects or publications in top-tier CG venues (SIGGRAPH, etc.) are pluses.\n\n\nA LITTLE MORE ABOUT MESHY.AI\n\nTrusted by Meta, Square Enix, Deepmind and more, Meshy is redefining 3D creation with generative AI. We empower artists, designers, engineers, hobbyists, and makers to bring immersive worlds, characters, and experiences to reality in minutes instead of months.\n\n \n\nIn addition to our core mission of unleashing creativity, we build a culture that we enjoy and are proud of. Here are some highlights:\n\n - We value intelligence and the pursuit of knowledge. We are a global team of generative-AI pioneers, computer-graphics veterans, and product builders who believe human expression and enjoyment is the ultimate frontier of computing.\n\n - We care deeply about our work, our users, and each other. Empathy and passion drive us forward. We have a culture of directness and truthfulness, therefore we value constructive criticism. Being direct and truthful is the most sincere form of trust and care.\n\n - We trust our instincts and are not afraid to take bold risks. Meshy was born from a few-hour prototype, a bold pivot for a team that had very little experience in AI. Innovation requires courage.\n\n - We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful. The same aesthetics permeate through our culture, our code and ","salary_min":175000,"salary_max":300000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["gpu","generative-ai","data-pipeline","robotics","computer-graphics","research"],"apply_url":"https://jobs.ashbyhq.com/meshy/e08ff336-379d-4cde-8df0-c5ab335517b3/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T20:04:34.461Z","expires_at":"2026-08-15T14:10:57.040052Z","created_at":"2026-07-16T14:10:57.180092Z","updated_at":"2026-07-16T14:10:57.180092Z","company_name":"Meshy","company_slug":"meshy","company_logo_url":"https://www.google.com/s2/favicons?domain=meshy.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/b2503a2d-d800-43bc-9f84-11af04a6a4b4"},{"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","gpu","generative-ai","llm","jax","computer-graphics"],"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":"2026-08-15T14:05:36.795Z","created_at":"2026-07-15T14:06:51.909822Z","updated_at":"2026-07-16T14:05:36.92287Z","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":["deep-learning","fine-tuning","computer-vision","computer-graphics","robotics"],"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":"2026-08-15T14:06:38.875861Z","created_at":"2026-07-15T14:07:52.665427Z","updated_at":"2026-07-16T14:06:38.999356Z","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":"d00a3abb-b43e-4277-b618-b45b76c66aba","company_id":"72014eb6-e84d-48c2-af5c-5424ebec0b3c","title":"Senior Security Engineer, AI Security ","slug":"senior-security-engineer-ai-security-4c6b56bc","description":"Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com .\n About The Role \n Reddit is a community of communities. It is built on shared interests, passion, and trust and is home to some of the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about.\n Reddit is hiring a Senior Security Engineer, AI Security to help teams build and ship AI-powered products securely. This role combines product security judgment with hands-on engineering to secure the systems, tools, and workflows behind Reddit's AI efforts.\n You will review AI-powered product designs, threat model LLM and agentic workflows, and build reusable security primitives that make secure AI development easier for teams across Reddit. This is not an MLE role, but you should be comfortable reasoning about how AI systems fail, how agents use tools, and how security controls fit into inference, retrieval, tool-use, and execution paths.\n The best candidates combine practical application security judgment with strong builder instincts. They can identify risks before launch, then turn repeated findings into guardrails, scanners, registries, sandboxes, libraries, policy checks, or platform controls that scale beyond one product team.\n What You'll Do \n \n Review and threat model AI-powered product features, LLM integrations, agentic workflows, MCP servers, tools, plugins, retrieval systems, model outputs, and internal AI tools before launch.\n Build reusable AI security primitives such as guardrails, scanners, policy checks, tool-use controls, registries, sandboxes, libraries, and workflow-native enforcement points.\n Design security tooling that can sit in the inference, retrieval, or execution path to detect and prevent prompt injection, jailbreaks, tool misuse, data leakage, unsafe code generation, and suspicious agent behavior.\n Partner with teams building products and platforms with AI to define practical security controls that fit how they design, build, and ship.\n Proactively find, fix, and prevent AI security issues, while making any required product or engineering changes clear and low-friction for partner teams.\n Turn one-off AI security issues into systemic fixes, paved paths, measurable controls, and reusable guidance.\n \n What We're Looking For \n \n 5+ years of experience in product security, application security, software security, security engineering, backend engineering, or security platform engineering.\n Strong application security fundamentals, including secure design review, threat modeling, code review, vulnerability prioritization, and practical remediation.\n Experience in building reliable backend services.\n Hands-on experience building security automation, developer tooling, libraries, infrastructure, or platform controls.\n Familiarity with AI, LLM, or agentic system risks such as prompt injection, jailbreaks, insecure tool use, tool poisoning, data leakage, unsafe model outputs, and abuse of AI-assisted workflows.\n Ability to reason across trust boundaries, including user input, model context, retrieval systems, backend services, tool calls, MCP servers, third-party integrations, sandboxed execution, logs, and frontend rendering.\n Practical understanding of infrastructure security concepts such as identity, authorization, network boundaries, secrets, cloud environments, containers, isolation, runtime policy enforcement, and least privilege.\n Strong engineering judgment about when to block launch, when to accept risk, and how to sequence practical remediations.\n Clear communication skills with the ability to explain technical security risk and business impact to engineers, product managers, and leadership.\n \n Preferred Qualifications \n \n Experience securing AI/LLM products, AI-assisted development tooling, agent frameworks, MCP-style tool ecosystems, retrieval-augmented generation systems, or model-integrated workflows.\n Experience building guardrails, policy engines, secure frameworks, scanners, linters, CI/CD checks, registries, gateways, or other developer-facing security platforms.\n Familiarity with agent sandboxing, workload identity, network policy, tool permissioning, AI red teaming, or LLM evaluation.\n Experience scanning or governing AI agent components such as skills, prompts, MCP servers, tool manifests, generated code, dependencies, or model-connected workflows.\n Familiarity with machine learning systems, model evaluation, AI data flows, or data governance for AI products.\n Experience with Go, Python, JavaScript, or TypeScript.\n Experience partnering with","salary_min":190800,"salary_max":267100,"location":"Remote (US)","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["rag","alignment","agents","code-generation","computer-graphics","llm","security","distributed-systems"],"apply_url":"https://job-boards.greenhouse.io/reddit/jobs/8039261","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-30T18:50:45Z","expires_at":"2026-08-15T14:09:29.283874Z","created_at":"2026-07-01T14:08:29.309834Z","updated_at":"2026-07-16T14:09:29.400359Z","company_name":"Reddit","company_slug":"reddit","company_logo_url":"https://www.google.com/s2/favicons?domain=www.reddit.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d00a3abb-b43e-4277-b618-b45b76c66aba"},{"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 embodied 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":["healthcare","computer-graphics","reinforcement-learning","robotics","distributed-systems"],"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":"2026-08-15T14:13:26.461778Z","created_at":"2026-06-28T14:12:12.377397Z","updated_at":"2026-07-16T14:13:26.580434Z","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":"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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on  Twitter ,  LinkedIn   and   Facebook . 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, language, national origin, physical an","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","data-pipeline","agents","llm","code-generation"],"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":"2026-08-15T14:02:34.985299Z","created_at":"2026-06-28T14:02:15.535602Z","updated_at":"2026-07-16T14:02:35.131179Z","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":"f0dfdd8a-0691-4608-9f9e-71e215891080","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Senior ML Engineer - Mapping","slug":"senior-ml-engineer-mapping-ff36a184","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's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Senior ML Engineer to join our team and build  the next generation of our mapping and localization stack. As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.\n Essential Responsibilities \n \n Implement and optimize production-grade lane and route network mapping ML, ensuring high-performance integration with the broader autonomy system.\n Research, train, and evaluate advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.\n Participate in rigorous code reviews, automated testing, and technical resolution.\n Develop data curation,  auto-labeling, and active learning pipelines. \n Develop evaluation scripts for lane and route network accuracy, and scaling across diverse Operational Design Domains (ODDs).\n Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.\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 M.S. or Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.\n 5+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.\n Deep expertise in several  of the following areas:\n \n Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.\n Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.\n Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.\n Self-supervised/semi-supervised and vision/fusion Foundation Models.\n \n Expertise in ML/DL development using PyTorch or TensorFlow, including experience with synthetic data generation, data curation, and model/algorithm evaluations.\n Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.\n \n Desirable \n \n Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.\n Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.\n Experience with feature extraction and/or fusion from both street-level and overhead imagery.\n Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.\n A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).\n \n Physical Requirements \n \n Standard office working conditions which includes but is not limited to:\n \n Prolonged sitting\n Prolonged standing\n Prolonged computer use\n \n Travel required? - Low: 5%-10%\n \n \n \n \n \n \n \n \n Benefits and Perks \n \n Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. \n Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.\n Rich retirement benefits, including an immediately vested employer safe harbor match.\n Generou","salary_min":210000,"salary_max":250000,"location":"Ann Arbor, MI","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["generative-ai","healthcare","autonomous-vehicles","pytorch","tensorflow","computer-vision","robotics","computer-graphics"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8502303002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-06-04T17:26:50Z","expires_at":"2026-08-15T14:18:35.842317Z","created_at":"2026-06-28T14:16:47.617459Z","updated_at":"2026-07-16T14:18:36.013479Z","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/f0dfdd8a-0691-4608-9f9e-71e215891080"},{"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 embodied 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":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["healthcare","computer-graphics","autonomous-vehicles","robotics"],"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":"2026-08-15T14:13:25.971509Z","created_at":"2026-06-28T14:12:11.910201Z","updated_at":"2026-07-16T14:13:26.175371Z","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 Tagger","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":["data-pipeline","llm","computer-vision","embeddings","autonomous-vehicles","mlops","computer-graphics","fine-tuning"],"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":"2026-08-15T14:06:20.738176Z","created_at":"2026-05-27T14:05:54.67339Z","updated_at":"2026-07-16T14:06:20.866545Z","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":"89cece6e-b032-4061-9bbd-1293a6fb0a3d","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Lead ML Engineer - Lane \u0026 Route Network Mapping","slug":"lead-ml-engineer-lane-route-networking-mapping-f78ab86c","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 The Autonomy Mapping \u0026 Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Lead ML Engineer to join our team and architect the next generation of our mapping and localization stack. As the Lead ML Engineer for Lane \u0026 Route Network Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.\n Essential Responsibilities \n \n Lead the research, design, architecture, training and validation of advanced neural networks for vectorized mapping (e.g., MapTR), multi-camera BEV transformers, and multimodal fusion models to extract and model lane and route networks for both high-fidelity offline pipelines and real-time online mapping.\n Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with upstream and downstream modules like Perception, Behavior, Policy, and Prediction.\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 mapping domain, specifically focusing on lane and route networks. 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 lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).\n Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.\n Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.\n Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques, including online vectorized HD map construction, end-to-end mapping models, and vision/fusion Foundation Models to deliver production-ready solutions.\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 mapping or computer vision at scale.\n Deep expertise in several of the following areas:\n \n Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.\n Cross-modal calibration and fusion (e.g., Camera-to-LiDAR) within Bird’s-Eye-View (BEV) unified representation spaces.\n Transformers or Graph Neural Networks (GNNs) applied to structured lane geometry and topological connectivity.\n Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.\n Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.\n \n Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.\n Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.\n Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.\n Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.\n Strong ","salary_min":220000,"salary_max":270000,"location":"Anywhere","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["computer-vision","generative-ai","distributed-systems","robotics","healthcare","computer-graphics","tensorflow","autonomous-vehicles"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8502280002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-24T18:43:50Z","expires_at":"2026-08-15T14:18:34.349835Z","created_at":"2026-04-30T05:57:37.06067Z","updated_at":"2026-07-16T14:18:34.470458Z","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/89cece6e-b032-4061-9bbd-1293a6fb0a3d"},{"id":"4b7b29dc-b4b9-47ce-bbd5-d87cc369ac43","company_id":"63839083-85dd-4aa0-b128-254fc82866e5","title":"Research Engineer, Calibration","slug":"research-engineer-calibration-92d9a55d","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nAs a Research Engineer in Calibration, you will create the next generation of calibration systems autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable calibration and monitoring solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.\n \nYou will…\n- Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).\n- Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.\n- Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.\n- Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.\n \nQualifications:\n- Deep knowledge in calibration problems. You have prior experience fusing multi-sensor systems, from posing and modeling hidden sensor parameters, to evaluating calibration quality. You should understand how to leverage classical algorithms (e.g. ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting) to solve the calibration problem.\n- Understanding of sensor modelling. You know how various sensor modalities work from a physical perspective and understand how different modelling assumptions will impact data interpretation and the final calibration. You have the ability to investigate the calibration issues down to the sensor hardware level to root cause issues.\n- Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept.\n- Strong software engineering fundamentals. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust), and are comfortable with Python interop.\n \nBonus:\n- Experience with building and managing complex data pipelines.\n- Experience working on real-time state estimation integrity monitoring.\n- Solid knowledge in performance profiling and optimization.\n- Solid experience with concurrent, parallel, and distributed computing techniques for efficient computation.\n- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.\n","salary_min":158000,"salary_max":269000,"location":"San Francisco, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","computer-graphics","computer-vision","search","distributed-systems","data-pipeline","research"],"apply_url":"https://jobs.lever.co/waabi/4c352ae0-53b0-4510-8d46-894b87d96ede/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-22T21:37:33.974Z","expires_at":"2026-08-15T14:06:27.419298Z","created_at":"2026-04-30T05:49:34.103893Z","updated_at":"2026-07-16T14:06:27.571806Z","company_name":"Waabi","company_slug":"waabi","company_logo_url":"https://www.google.com/s2/favicons?domain=waabi.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/4b7b29dc-b4b9-47ce-bbd5-d87cc369ac43"},{"id":"7014941e-cabc-4495-8521-68652725a202","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Computer Vision Engineer","slug":"senior-computer-vision-engineer-2e1b5703","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 Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together, with a particular emphasis on larger, more capable unmanned aerial vehicles. Our team specializes in integrating advanced perception and autonomy algorithms into complex aerial platforms, pushing the boundaries of what's possible in autonomous flight and mission execution. We develop cutting-edge Computer Vision and Autonomy algorithms to solve some of the hardest problems facing our customers, particularly in challenging and dynamic environments where robust perception is critical.\n ABOUT THE JOB \n We are seeking an experienced Computer Vision Engineer with a strong background in robotics to join our rapidly growing team in Costa Mesa, CA. In this role, you will be at the forefront of developing advanced perception systems for complex autonomous aerial platforms. Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation.\n This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms. Your work will directly contribute to the seamless integration of Anduril's products, achieving critical outcomes in autonomous operations. This position demands strong systems-level knowledge and experience, as you'll be working on the intersection of computer vision, robotics, and autonomous systems. If you are passionate about pushing the boundaries of computer vision in robotics, possess a \"Whatever It Takes\" mindset, and can execute in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you.\n WHAT YOU'LL DO \n \n Work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems.\n Develop and implement advanced structure from motion and SLAM algorithms to create accurate 3D models from multiple camera inputs in real-time.\n Integrate perception outputs with path planning algorithms to enable autonomous navigation in complex, unstructured environments\n Design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers.\n Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems.\n Work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems.\n \n REQUIRED QUALIFICATIONS \n \n BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.\n Strong knowledge of 3D computer vision concepts, including multi-view geometry, camera models, photogrammetry, and 3D reconstruction techniques.\n Fluency in standard domain libraries (numpy, opencv, pytorch, etc).\n Proven understanding of data structures, algorithms, concurrency, and code optimization.\n 6+ years of professional industry experience working with C++ or Rust programming languages.\n Experience deploying software to end customers, internal or external.\n Must be willing to travel 25%.\n Eligible to obtain an active U.S. Secret security clearance.\n \n PREFERRED QUALIFICATIONS \n \n MS or PhD in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.\n Experience with perception systems for aerial robotics or other highly dynamic platforms.\n Experience with real-world sensor integrations, including LiDAR, RGB-D cameras, stereo cameras, or TOF cameras.\n Knowledge of path planning algorithms and their integration with perception systems in dynamic environments.\n Experience with GPU / CUDA programming for accelerated computer vision processing.\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 f","salary_min":220000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","payments","gpu","robotics","pytorch","computer-graphics","computer-vision"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5114446007?gh_jid=5114446007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-20T15:50:44Z","expires_at":"2026-08-15T14:07:43.944273Z","created_at":"2026-04-22T15:41:01.009937Z","updated_at":"2026-07-16T14:07:44.064047Z","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/7014941e-cabc-4495-8521-68652725a202"},{"id":"fb5d1359-bf5e-4aea-a845-a803685073cc","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Computer Vision Engineer","slug":"computer-vision-engineer-ca13e6f4","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 Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together, with a particular emphasis on larger, more capable unmanned aerial vehicles. Our team specializes in integrating advanced perception and autonomy algorithms into complex aerial platforms, pushing the boundaries of what's possible in autonomous flight and mission execution. We develop cutting-edge Computer Vision and Autonomy algorithms to solve some of the hardest problems facing our customers, particularly in challenging and dynamic environments where robust perception is critical.\n ABOUT THE JOB \n We are seeking an experienced Computer Vision Engineer with a strong background in robotics to join our rapidly growing team in Costa Mesa, CA. In this role, you will be at the forefront of developing advanced perception systems for complex autonomous aerial platforms. Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation.\n This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms. Your work will directly contribute to the seamless integration of Anduril's products, achieving critical outcomes in autonomous operations. This position demands strong systems-level knowledge and experience, as you'll be working on the intersection of computer vision, robotics, and autonomous systems. If you are passionate about pushing the boundaries of computer vision in robotics, possess a \"Whatever It Takes\" mindset, and can execute in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you.\n WHAT YOU'LL DO \n \n Work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems.\n Develop and implement advanced structure from motion and SLAM algorithms to create accurate 3D models from multiple camera inputs in real-time.\n Integrate perception outputs with path planning algorithms to enable autonomous navigation in complex, unstructured environments\n Design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers.\n Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems.\n Work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems.\n \n REQUIRED QUALIFICATIONS \n \n BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.\n Strong knowledge of 3D computer vision concepts, including multi-view geometry, camera models, photogrammetry, and 3D reconstruction techniques.\n Fluency in standard domain libraries (numpy, opencv, pytorch, etc).\n Proven understanding of data structures, algorithms, concurrency, and code optimization.\n 4+ years of professional industry experience working with C++ or Rust programming languages.\n Experience deploying software to end customers, internal or external.\n Must be willing to travel 25%.\n Eligible to obtain an active U.S. Secret security clearance.\n \n PREFERRED QUALIFICATIONS \n \n MS or PhD in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.\n Experience with perception systems for aerial robotics or other highly dynamic platforms.\n Experience with real-world sensor integrations, including LiDAR, RGB-D cameras, stereo cameras, or TOF cameras.\n Knowledge of path planning algorithms and their integration with perception systems in dynamic environments.\n Experience with GPU / CUDA programming for accelerated computer vision processing.\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 f","salary_min":191000,"salary_max":253000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["pytorch","gpu","robotics","payments","computer-graphics","computer-vision","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5102920007?gh_jid=5102920007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-15T17:11:56Z","expires_at":"2026-08-15T14:07:36.023456Z","created_at":"2026-04-16T11:11:19.786774Z","updated_at":"2026-07-16T14:07:36.158495Z","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/fb5d1359-bf5e-4aea-a845-a803685073cc"},{"id":"5598d2b8-4b20-4711-85c0-0044886dc171","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Lead ML Engineer - Mapping","slug":"lead-ml-engineer-mapping-a0e910b6","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 The Autonomy Mapping \u0026 Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Lead ML Engineer to join our team and architect the next generation of our mapping and localization stack. As the Lead ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale. \n Essential Responsibilities \n \n Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with the broader autonomy system\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 lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.\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 mapping 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 lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).\n Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.\n Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.\n Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques. This includes online vectorized HD map construction, end-to-end mapping models, and vision/fusion foundation models to deliver production-ready solutions.\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 mapping or computer vision at scale.\n Deep expertise in several of the following areas:\n \n Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.\n Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.\n Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.\n Self-supervised/semi-supervised and vision/fusion Foundation Models.\n \n Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.\n Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.\n Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.\n Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.\n Strong communication skills with the ability to lead technical discussions and align with cross-functional teams.\n \n Desirable \n \n 10+ years of experience in ML/DL for autonomous driving or ADAS systems.\n Experience with feature extraction and/or fus","salary_min":225000,"salary_max":275000,"location":"Anywhere","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"lead","tags":["robotics","pytorch","tensorflow","distributed-systems","generative-ai","healthcare","computer-graphics","computer-vision"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8187004002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-04-03T17:04:04Z","expires_at":"2026-08-15T14:18:34.425974Z","created_at":"2026-04-17T00:25:35.915914Z","updated_at":"2026-07-16T14:18:34.543185Z","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/5598d2b8-4b20-4711-85c0-0044886dc171"},{"id":"d8108d17-7273-4ca4-ac36-9747b09deeac","company_id":"e597788a-bd36-460e-8d1a-40fdbfbcc5c3","title":"World Model Research Scientist- Physical AI","slug":"world-model-research-scientist-physical-ai-e1bfa299","description":"Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.\n Kodiak is building AI that doesn't just perceive the world, it learns how the physics of the world works. We are developing large-scale generative world models that learn to predict realistic, physically consistent futures from real-world sensor data. This capability serves as the foundation for scalable closed-loop training, validation, and long-tail scenario generation, and is distilled into the onboard models that drive our autonomous trucks. We are looking for a research scientist to lead the design and development of world models capable of generating multi-sensor, multi-view, temporally coherent driving scenarios conditioned on actions, 3D scene context, and text. \n  \n In this role, you will: \n \n Design and train generative world models that synthesize realistic multi-camera video and LiDAR conditioned on ego trajectories, 3D scene context, and text \n Research and implement conditional diffusion architectures for driving, including spatiotemporal attention, latent space design, and action-conditioned generation \n Develop techniques for multi-view geometric consistency in generated outputs, drawing on neural rendering, cross-view attention, and 3D-aware generative approaches \n Build methods for joint multimodal generation that maintain cross-sensor consistency between camera, LiDAR, and radar outputs \n Design evaluation frameworks that measure world model quality beyond pixel-level metrics, including scenario fidelity and autoregressive stability \n Scale training pipelines to learn from thousands of hours of real-world driving data across multiple sensor modalities \n \n What you'll bring: \n \n PhD in Computer Science, AI, Robotics, or a related field, with a focus on generative modeling, neural rendering, or video synthesis \n Strong publication record or demonstrated research contributions in diffusion models, video generation, neural radiance fields, 3D-aware generative models, or world models \n Experience with neural rendering and view synthesis and an understanding of multi-view geometric consistency \n Proficiency working with multimodal sensor data (camera, LiDAR, radar) and familiarity with 3D representations such as BEV grids, voxel fields, or tri-planes \n Strong implementation skills in Python and PyTorch, with experience training large generative models at scale using distributed training \n Passion for building AI that understands and predicts the physical world to enable safe autonomous driving \n \n What We Offer: \n \n Competitive compensation package including equity and annual bonuses \n Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits) \n MetLife Legal Services, Identity \u0026 Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, \u0026 Critical Illness Insurance \n Flexible PTO, 10 paid holidays, and generous parental leave policies \n Our office is centrally located in Mountain View, CA \n Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging \n Long Term Disability, Short Term Disability, Life Insurance \n Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)  \n Fidelity 401(k) \n Commuter, FSA, Dependent Care FSA, HSA \n Various incentive programs (referral bonuses, patent bonuses, etc.) \n The pay range listed below reflects the base salary  in our SF/Silicon Valley location,  across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package\n California Pay Range\n $190,000 — $250,000 USD \n  \n At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.\n  \n In alignment with its business operations, Kodiak adheres to all r","salary_min":190000,"salary_max":250000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["computer-graphics","distributed-systems","pytorch","diffusion-models","autonomous-vehicles","robotics","data-pipeline","research"],"apply_url":"https://job-boards.greenhouse.io/kodiak/jobs/4203253009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-27T19:53:56Z","expires_at":"2026-08-15T14:09:13.277244Z","created_at":"2026-04-13T09:41:40.245143Z","updated_at":"2026-07-16T14:09:13.46787Z","company_name":"Kodiak","company_slug":"kodiak","company_logo_url":"https://www.google.com/s2/favicons?domain=kodiak.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/d8108d17-7273-4ca4-ac36-9747b09deeac"},{"id":"17bf416c-a625-4bff-a1e4-d85921424e5d","company_id":"63839083-85dd-4aa0-b128-254fc82866e5","title":"Research Scientist, World Models","slug":"research-scientist-world-models-ebdb75a6","description":"Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.\n\nWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\n\nWaabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.\n \nYou will…\n- Conduct fundamental and applied research in generative and predictive world-modeling\n• Video generation and prediction.\n• Latent diffusion / autoregressive / flow-matching models.\n• Multimodal foundation models for driving scenes.\n• LLM / VLM / VLA methods for scene understanding, reasoning, and control.\n• Generative scenario modeling and controllable simulation.\n• Model distillation.\n- Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.\n- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).\n- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.\n- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.\n\nQualifications:\n- Demonstrated technical innovation:  You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..\n- Strong prototyping and implementation:  You have expert-level Python \u0026 PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.\n- Expert domain knowledge: You have built  generative or predictive models of the physical world with scale and efficiency in mind for real-world applications\n- Team player:  You have worked in a close-knit team of researchers and engineers and have strong communication  to deliver successful projects. \n \nBonus:\n- Proven ability to translate research into production-quality code and measurable product impact.\n- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.\n","salary_min":155000,"salary_max":269000,"location":"Toronto, Canada","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["llm","generative-ai","distributed-systems","robotics","pytorch","computer-graphics","computer-vision","research"],"apply_url":"https://jobs.lever.co/waabi/37af7fe8-1d7f-458d-9e8a-942ac0c75a3d/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-27T16:23:00.513Z","expires_at":"2026-08-15T14:06:28.362516Z","created_at":"2026-04-13T09:41:53.371032Z","updated_at":"2026-07-16T14:06:28.47704Z","company_name":"Waabi","company_slug":"waabi","company_logo_url":"https://www.google.com/s2/favicons?domain=waabi.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/17bf416c-a625-4bff-a1e4-d85921424e5d"},{"id":"32b02265-9976-4081-aa72-9be045b8ef05","company_id":"f5ee7284-a657-4da2-b351-cb806a3681cd","title":"Member of Technical Staff - Imagine Model","slug":"member-of-technical-staff-imagine-model-1dbfa2c4","description":"SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.  Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n ABOUT THE ROLE:\n As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content (e.g., synchronized audio for video). Responsibilities span data curation, modeling, training, inference serving, and product integration, covering both pretraining and post-training phases. You will collaborate closely with product teams to push model frontiers and deliver exceptional end-to-end user experiences.\n RESPONSIBILITIES:\n \n Create and drive engineering agendas to advance multimodal capabilities, with emphasis on image and video generation, editing, understanding, controllable/long-horizon synthesis, agentic planning, RL training, and world simulation (including audio integration for richer video experiences).\n Improve data quality through annotation, filtering, augmentation, synthetic generation, captioning, and in-depth data studies, particularly for visual and audio data. \n Design evaluation frameworks, metrics, benchmarks, evals, and reward models tailored to image/video/audio quality and coherence.\n Implement efficient algorithms for state-of-the-art model performance, including real-time inference, distillation, and scalable serving for visual content.\n Develop scalable data collection and processing pipelines for multimodal (primarily image/video-focused) datasets.\n Collaborate cross-functionally to integrate AI solutions into production and rapidly iterate based on user feedback.\n \n BASIC QUALIFICATIONS:\n \n Track record in leading studies that significantly improve neural network capabilities and performance through better data or modeling.\n Experience in data-driven experiment designs, systematic analysis, and iterative model debugging.\n Experience developing or working with large-scale distributed machine learning systems.\n Ability to deliver optimal end-to-end user experiences.\n Hands-on contributor with initiative, excellence, strong work ethic, prioritization skills, and excellent communication.\n \n PREFERRED SKILLS AND EXPERIENCE:\n \n Experience in SFT, RL, evals, human/synthetic data collection, or agentic systems.\n Proficiency in Python, JAX/XLA, PyTorch, Rust/C++, Spark, Ray, and related large-scale frameworks.\n Domain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation (audio/speech processing or music/audio generation experience is a plus where it supports video).\n Experience with agentic RL training, controllable/long-horizon generation, or multimodal agents that reason and act across modalities (especially in visual domains).\n \n COMPENSATION AND BENEFITS:\n $180,000 - $440,000 USD\n Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short \u0026 long-term disability insurance, life insurance, and various other discounts and perks.\n SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .","salary_min":180000,"salary_max":440000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["agents","deep-learning","computer-graphics","pytorch","pre-training","reinforcement-learning"],"apply_url":"https://job-boards.greenhouse.io/xai/jobs/5051985007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-03-06T00:44:12Z","expires_at":"2026-08-15T14:03:43.545824Z","created_at":"2026-04-13T09:38:41.622384Z","updated_at":"2026-07-16T14:03:43.667501Z","company_name":"xAI","company_slug":"xai","company_logo_url":"https://www.google.com/s2/favicons?domain=x.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/32b02265-9976-4081-aa72-9be045b8ef05"},{"id":"aa4a4bb5-14e2-4f37-b9e2-312763c67570","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior, ML Engineer - Neural Rendering","slug":"senior-ml-engineer-neural-rendering-3df05be6","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. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close 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, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.     \n What You’ll Do:       \n \n Implement the latest research advances in Neural Rendering and generative models  \n Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations \n Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training \n Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks   \n Own development projects in the team – From research, design, to implementation, testing and deployment \n Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.\n Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.\n Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. \n Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.     \n \n What You’ll Need to Succeed:       \n \n Proficiency in Python and deep learning frameworks such as PyTorch.  \n PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. \n Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). \n Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. \n Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.    \n Experience with VDI and cloud based machine learning development environments.\n Expected to drive alignment across team interfaces to the rest of the organization.  \n Designs, maintains and owns team technical solutions and drives consensus.   \n Mentors and guides engineers within the group.     \n \n Bonus Points!     \n \n Experience with autonomous driving or robotics perception in production environments.  \n Proficiency with CUDA programming for efficient rendering of large-scale scenes \n Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals \n Experience with MLOps and infrastructure tools (Ray) \n Familiarity with 3D labeling, calibration, and sensor simulation pipelines.   \n Handling of Autonomous Driving Sensors  –  Multiple timestamp, multiple sensor data from cameras, lidars, and radars    \n \n Perks of Being a Full-time Torc’r      Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:       \n \n A competitive compensation package that includes a bonus component and stock options  \n 100% paid medical, dental, and vision premiums for full-time employees   \n 401K plan with a 6% employer match   \n Flexibility in schedule and generous paid vacation (available immediately after start date) \n AD+D and Life Insurance     \n \n At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, ","salary_min":160800,"salary_max":212300,"location":"Montreal, Canada","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"senior","tags":["pytorch","deep-learning","robotics","payments","autonomous-vehicles","computer-graphics","diffusion-models","mlops"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8429809002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-02-19T16:47:38Z","expires_at":"2026-08-15T14:06:21.056054Z","created_at":"2026-04-13T09:41:38.491922Z","updated_at":"2026-07-16T14:06:21.187638Z","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/aa4a4bb5-14e2-4f37-b9e2-312763c67570"},{"id":"818a6d2a-c872-40ab-8cdc-28c2fea1567b","company_id":"a832a7c6-808b-473c-a141-b8f5f7a27286","title":"Research Engineer / Scientist (SLAM)","slug":"research-engineer-scientist-slam-86cfd39e","description":"About World Labs: \n We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. \n We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.\n We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.\n Role Overview \n We’re looking for a SLAM Specialist to design, implement, and advance state-of-the-art simultaneous localization and mapping systems that enable accurate, robust spatial understanding from real-world sensor data. This role is focused on modern SLAM techniques—both classical and learning-based—with an emphasis on scalable state estimation, sensor fusion, and long-term mapping in complex, dynamic environments.\n This is a hands-on, research-driven role for someone who enjoys working at the intersection of robotics, computer vision, and probabilistic inference. You’ll collaborate closely with research scientists, ML engineers, and systems teams to translate cutting-edge SLAM ideas into production-ready capabilities that form the backbone of our world modeling stack.\n What You Will Do: \n \n Design and implement modern SLAM systems for real-world environments, including visual, visual-inertial, lidar, or multi-sensor configurations.\n Develop robust localization and mapping pipelines, including pose estimation, map management, loop closure, and global optimization.\n Research and prototype learning-based or hybrid SLAM approaches that combine classical geometry with modern machine learning methods.\n Build and maintain scalable state estimation frameworks, including factor graph optimization, filtering, and smoothing techniques.\n Develop sensor fusion strategies that integrate cameras, IMUs, depth sensors, lidar, or other modalities to improve robustness and accuracy.\n Analyze failure modes in real-world SLAM deployments (e.g., perceptual aliasing, dynamic scenes, drift) and design principled solutions.\n Create evaluation frameworks, benchmarks, and metrics to measure SLAM accuracy, robustness, and performance across large datasets.\n Optimize performance across the stack, including real-time constraints, memory usage, and compute efficiency, for large-scale and production systems.\n Collaborate with reconstruction, simulation, and infrastructure teams to ensure SLAM outputs integrate cleanly with downstream world modeling and rendering pipelines.\n Contribute to technical direction by proposing new research ideas, mentoring teammates, and helping define best practices for localization and mapping across the organization.\n \n Key Qualifications: \n \n 6+ years of experience working on SLAM, state estimation, robotics perception, or related areas.\n Strong foundation in probabilistic estimation, optimization, and geometric vision (e.g., bundle adjustment, factor graphs, Kalman filtering).\n Deep experience with one or more SLAM paradigms (visual, visual-inertial, lidar, multi-sensor, or hybrid systems).\n Proficiency in Python and/or C++, with hands-on experience building research or production-grade SLAM systems.\n Experience with numerical optimization libraries and/or robotics frameworks.\n Familiarity with learning-based perception or representation learning and how it can augment classical SLAM pipelines.\n Strong understanding of real-world sensor characteristics, calibration, synchronization, and noise modeling.\n Proven ability to work in ambiguous, fast-moving environments and drive projects from concept through deployment.\n A strong sense of ownership and engineering rigor: you care deeply about correctness, stability, and measurable improvements.\n Enjoy collaborating with a small, high-caliber team and raising the technical bar through thoughtful design, experimentation, and code quality.\n \n Who You Are: \n \n Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.\n Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.\n Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.\n Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.\n \n  \n We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. 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