{"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":"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":"c86d2f91-914b-4899-b3e1-e61be0732f6a","company_id":"77beb456-fc80-40a4-b773-f0b17d1ece4c","title":"Generative AI - ML System Engineering","slug":"generative-ai-ml-system-engineering-b7b36ecf","description":"WHO YOU ARE\n\nWe are looking for Machine Learning Systems Engineers who can help us build the world's largest end-to-end 3D native machine learning systems. You will help us build our end to end ML framework dedicated for 3D, from pretraining, to finetuning, inferencing, etc. We expect a combination of strong hands on engineering skills, eagerness to learn new things, and thrives in a fast-paced, high-ownership environment.\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\n3D is the brave new frontier of Gen AI. Our work here involves a lot of unique new challenges in both training and inference. Your next challenge at Meshy would involve the full stack of AI, from debugging and monitoring the hardware platform, building training framework, scaling high-throughput 3D data pipelines for our foundational training, co-designing novel model architectures with researchers, to the novel challenge of efficient inference engines for diffusion models and more. Here are some examples for each side of the challenge:\n\n \n\nOn the training side\n\n - Work closely with researchers to co-design the next frontier of 3D \u0026 Spatial AI.\n\n - Build and debug on top of modern PyTorch, for maximum parallelism and efficiency, and build clean and intuitive training infrastructure for our in-house foundational models.\n\n - Identifying bottlenecks and optimizing for high throughput \u0026 efficient distributed model training across hundreds to thousands of GPUs.\n\n - Implementing and maintaining 3D specific custom operators in Triton or CUDA.\n\n - Implementing and maintaining novel data-loading framework and libraries.\n\nOn the inference side\n\n - Building efficient inference endpoints with complex multi-stage model pipelines.\n\n - Optimizing models through compilation, fusion, quantization, etc.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Experience in machine learning or high performance graphics.\n\n - Solid practical understanding of at least one machine learning framework (e.g. PyTorch, JAX).\n\n - Strong ability to write beautiful and maintainable code in Python and/or C++.\n\n - Ability to learn fast and dive into new concepts or complex codebases.\n\n - Performance and efficiency oriented mindset, with a strong interest in the tiniest detail.\n\n - Strong communication skills for working in a globally distributed team.\n\n\nNICE TO HAVE\n\n - A strong passion to navigate through the PyTorch internals, with hands-on experience in areas like torch.compile , fully_shard (FSDP2) APIs.\n\n - Experience with building Triton kernels.\n\n - Experiences with large-scale distributed training, familiarity with modern parallelization techniques: DP, TP, CP, PP, zero redundancy optimizers, etc.\n\n - Experience with diffusion models in 3D or video.\n\n - Experience with low precision bf16 or fp8 training.\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 are the ","salary_min":175000,"salary_max":300000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["fine-tuning","pytorch","distributed-systems","pre-training","generative-ai","gpu","robotics","data-pipeline"],"apply_url":"https://jobs.ashbyhq.com/meshy/3f94dcd6-9d31-47e7-a6b1-66e49a777056/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T19:52:38.747Z","expires_at":"2026-08-15T14:10:55.956272Z","created_at":"2026-07-16T14:10:56.084849Z","updated_at":"2026-07-16T14:10:56.084849Z","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/c86d2f91-914b-4899-b3e1-e61be0732f6a"},{"id":"6db6f99f-a30e-4524-a8e4-b34154992b4d","company_id":"77beb456-fc80-40a4-b773-f0b17d1ece4c","title":"Generative AI - 3D Foundation Model","slug":"generative-ai-3d-foundation-model-cb2667cc","description":"WHO YOU ARE\n\nYou are a talented, hands-on researcher who thrives in a fast-paced environment, is self-directed, a team player, and knows how to get things done efficiently. You have deep understanding of the transformer architecture, have strong python and tensor programming skills, have a vision for AI beyond linear sequences, and you believe in \"the scaling law\". You can translate high-level goals into concrete research and implementation steps, set an approach, and follow through. When it's time to explain your ideas, you bring clarity to complex technical issues. You are not afraid of confronting new ideas, and you are eager to share your knowledge with the team. You use these skills to create real-world benefits for our researchers, engineers, and millions of users, and you are excited to help advance our effort to push the state of the art of AI that understands and generates 3D worlds.\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 the team of research scientists and machine learning engineers at Meshy, you will drive the development of our core 3D-native generative foundational model. In this role, you will join our foundational research to advance 3D AI, apply learnings from other fields of ML, and pushing the state of the art. You will also work towards long-term ambitious research goals, while identifying intermediate milestones.\n\n \n\nThe essential functions include, but are not limited to the following:\n\n - Design, train, and refine large-scale 3D generative models from covering pre-training, post-training, and emerging paradigms in diffusion, flow matching, and multi-modal learning.\n\n - Bridge the gap between cutting-edge research and product, deploy models in real products used by millions of creators, using human feedback and creative evaluation.\n\n - Create novel model architectures to make 3D generation faster, higher-quality, and more controllable.\n\n - Collaborate with infrastructure and systems teams to build scalable training, and data pipelines across GPU clusters and cloud environments.\n\n - Bring engineering discipline into an fast-paced research environment: elegant code, reproducible experiments, and building software as a team.\n\n - Share insights and breakthroughs through internal demos, open-source contributions, or technical reports that advance the field of 3D generative AI.\n\n\nWHAT WE'RE LOOKING FOR\n\n - Strong engineering skills in Python and deep learning frameworks (preferably PyTorch); comfortable moving between research prototypes and production systems.\n\n - Familiar with Transformers and modern generative AI models (Diffusion / flow matching, VAE, etc.).\n\n - Curiosity and passion for multi-modal AI, and have an intuitive understanding of how models perceive, represent, and generate 3D worlds.\n\n - Familiar with high performance training on large scale infrastructure (e.g., SLURM, Ray, k8s) is a plus.\n\n - Contributions to popular open-source machine learning projects or publications in top-tier CV / ML conferences is a plus.\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","salary_min":175000,"salary_max":300000,"location":"San Francisco, CA","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["generative-ai","gpu","robotics","deep-learning","data-pipeline","pre-training","pytorch","research"],"apply_url":"https://jobs.ashbyhq.com/meshy/f52aa172-0212-4db8-a93d-406b910b9fea/application","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T19:18:36.925Z","expires_at":"2026-08-15T14:10:56.873764Z","created_at":"2026-07-16T14:10:56.993732Z","updated_at":"2026-07-16T14:10:56.993732Z","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/6db6f99f-a30e-4524-a8e4-b34154992b4d"},{"id":"41303023-74c2-427a-a577-7f944338c56d","company_id":"545e1785-0a1e-478e-b21c-cb7ffa7e0b88","title":"Senior ML Platform Engineer - AD/ADAS","slug":"senior-ml-platform-engineer-adadas-28cbdd13","description":"Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.\n\nOur work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud \u0026 AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.\n\n\nTEAM\nAt Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.\n\nWHO ARE WE LOOKING FOR?\nThe team is looking for a skilled Software Engineer or Machine Learning Engineer to join the Machine Learning Platform team, and work in close collaboration with and/or embedded in our ML teams to accelerate and scale up our overall ML engineering activities, enabling shipping Perception, Prediction and Planning ML models and our AD/ADAS stack to millions of Toyota customer vehicles. \nWe are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity, and able to leverage cutting-edge technologies to solve real-world problems while also considering ML engineers’ productivity and cost efficiency. We are looking for individuals who exhibit a \"giver\" mindset, consistently seeking opportunities to assist their colleagues while maintaining a strong focus on delivering solutions to production.\n","salary_min":140000,"salary_max":230000,"location":"Palo Alto, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["deep-learning","robotics","autonomous-vehicles","platform"],"apply_url":"https://jobs.lever.co/woven-by-toyota/69482f28-8f96-4509-8b03-cc8de9c85f39/apply","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-15T16:21:59.974Z","expires_at":"2026-08-15T14:16:34.492557Z","created_at":"2026-07-16T14:16:34.622704Z","updated_at":"2026-07-16T14:16:34.622704Z","company_name":"Woven by Toyota","company_slug":"woven-toyota","company_logo_url":"https://www.google.com/s2/favicons?domain=woven.toyota\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/41303023-74c2-427a-a577-7f944338c56d"},{"id":"724ab66f-d426-4c39-b31e-1b432c22d253","company_id":"83c597c2-a4b2-4517-99df-1ac8c90756d5","title":"Senior Simulation Vehicle Modeling Engineer","slug":"senior-simulation-vehicle-modeling-engineer-9867b4f8","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 At Torc, our simulation teams are building the foundation for AV 3.0 driver-out development and certification. This team serves as the critical technical interface between simulation/modeling and autonomy consumers. By ensuring model fidelity, coverage, and usability, the team plays a vital role in evaluating and advancing autonomous driving software. We support massive-scale, parallel execution for scaled verification and validation (V\u0026V) and high-throughput reinforcement learning (RL) training. Ultimately, we provide the framework and tooling that serves Autonomy, Safety, and Release with shared artifacts, common metrics, and deterministic reproducibility.    \n What You'll Do:   \n \n Develop and own vehicle dynamics models, including high-fidelity truck models that accurately represent longitudinal, lateral, and transient behavior for use in simulation and autonomy validation.  \n Design, develop, and maintain high-fidelity simulation platforms used to validate autonomous driving software in closed-loop evaluation pipelines at scale.   \n Partner with autonomy engineering teams to capture and implement vehicle model requirements that support planning, controls, and system-level V\u0026V activities.   \n Own model capability communication, known limitations, and release notes to enable effective autonomy validation.   \n Ensure vehicle model updates do not regress autonomy V\u0026V system performance by using automated regression frameworks.   \n Execute full software development lifecycle activities primarily in C++ within a Linux development environment and ROS/ROS2 tooling, applying Lean-Agile methodologies.   \n Perform root cause analysis on issues identified during simulation runs and hardware-in-the-loop testing.   \n Participate in designing test plans for data acquisition and telemetry that support field data collection for vehicle model refinement.   \n Support system-level test plans and verification strategies.   \n Communicate progress, design decisions, and blockers clearly at daily stand-ups and design reviews.   \n Build and maintain collaborative relationships with OEM partners and simulation tool vendors to evaluate, integrate, and co-develop simulation capabilities.   \n \n What You'll Need to Succeed:   \n \n Bachelor's Degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related technical field plus 6+ years of relevant experience; or Master's Degree in the above fields plus 3+ years of relevant experience; or  PhD in the above fields plus 1+ years of relevant experience.   \n Proficiency in C++ (primary), Python for tooling and ML integrations, ROS/ROS2, CMake, and Linux.   \n Physics-based modeling of ground vehicles, including longitudinal/lateral dynamics, tire models, and powertrain.   \n Working knowledge of AV autonomy stack architecture—planning, controls, and system integration—to collaborate effectively with autonomy engineering teams and ensure vehicle models meet V\u0026V requirements.   \n Ability to translate vehicle model capabilities and limitations to autonomy engineering teams, and to capture their requirements to inform model fidelity improvement initiatives.   \n Experience with unit, integration, and regression testing, as well as automated validation pipelines and simulation-based performance benchmarking.   \n Expected to drive consensus across simulation, autonomy, controls, and product engineering \u0026 safety teams.   \n Ability to own and maintain key technical systems across multiple repositories and contribute to cross-org architectural decisions.   \n Must operate as an advanced-level professional with wide latitude for independent judgment and minimal supervision.   \n Willingness to mentor and guide engineers within the group and contribute to technical direction within the simulation and autonomy domains.   \n \n Bonus Points!   \n \n Experience with high-fidelity truck \u0026 trailer or heavy-vehicle models.  \n Experience building or extending closed-loop autonomous vehicle simulation environments.   \n Familiarity with scenario-based validation and sim-to-real correlation activities.   \n Familiarity with how learned models (neural networks) consume simulation and vehicle model outputs in autonomy V\u0026V workflows.   \n \n Perks of Being a Full-time Torc’r   \n Torc cares about our team members and we strive","salary_min":160800,"salary_max":193000,"location":"Ann Arbor, MI","workplace":"remote","remote_scope":"unknown","job_type":"full-time","experience_level":"senior","tags":["robotics","deep-learning","payments","reinforcement-learning","autonomous-vehicles"],"apply_url":"https://job-boards.greenhouse.io/torcrobotics/jobs/8624508002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-14T18:27:34Z","expires_at":"2026-08-15T14:06:21.505391Z","created_at":"2026-07-15T14:07:36.22853Z","updated_at":"2026-07-16T14:06:21.625011Z","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/724ab66f-d426-4c39-b31e-1b432c22d253"},{"id":"71ee758f-16cd-4c69-8fc0-3f12619c37ad","company_id":"6ce2d21e-b00f-4343-9bd0-5ac62ff81431","title":"Staff Machine Learning Engineer, Simulation ","slug":"staff-machine-learning-engineer-simulation-353a3819","description":"Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.\n The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.\n In this hybrid role, you will report to an Engineering Manager  \n You will: \n \n Report into the TLM for the Learned Metrics Team\n Develop ML models that assess our autonomous vehicle's behavior.\n Develop ML infrastructure to support performant models.\n Collaborate across teams to bring state-of-the-art to production.\n \n You have: \n \n BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area, or equivalent work experience\n 5+ years of experience building productionized ML models\n Code and design skills: comfort building production systems (Python / C++)\n Background in applied Deep Learning\n A track record in improving model quality\n \n We prefer: \n \n 8+ years of experience building productionized ML models\n Experience in reinforcement learning, transfer learning, or learning.\n Experience with large scale data and models\n The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  \n Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  \n Salary Range\n $251,000 — $310,000 USD","salary_min":251000,"salary_max":310000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"lead","tags":["reinforcement-learning","deep-learning","autonomous-vehicles","robotics","machine-learning"],"apply_url":"https://careers.withwaymo.com/jobs?gh_jid=8056720","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T22:11:43Z","expires_at":"2026-08-15T14:05:13.85177Z","created_at":"2026-07-15T14:06:31.242063Z","updated_at":"2026-07-16T14:05:13.968294Z","company_name":"Waymo","company_slug":"waymo","company_logo_url":"https://www.google.com/s2/favicons?domain=waymo.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/71ee758f-16cd-4c69-8fc0-3f12619c37ad"},{"id":"e5f45e3a-eaa5-43b4-acc0-5f2b36b3e1c2","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Director, Autonomy Perception","slug":"director-autonomy-perception-090caf3b","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 Director of Perception will be responsible for leading the vision, strategy, and technical roadmap of the Autonomy Perception team at May Mobility.  The Director of Perception plays a key role in advancing May’s core autonomy software stack, ensuring that May’s unique, innovative MPDM architecture operates on high quality data from sensors and sensor processing algorithms.\n This is a unique opportunity to sit at the crossroads of cutting-edge autonomous driving technology, transformative mobility, and the products that enable change in the transportation landscape of cities today.\n This position reports to the Sr. Director of Autonomy and is responsible for providing world class leadership to our autonomy engineering managers and engineers, in order to propel their professional success as they develop industry-leading technology advancements.\n Essential Responsibilities \n \n Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow executives and engineering leaders.\n Work cross-functionally with Vehicle Engineering, Product, and Operations leaders to solve and deploy solutions to autonomy perception challenges.\n Deliver innovative and robust advances to May’s perception technology including measurable improvements to object detection, classification, tracking, and prediction.\n Ensure May’s core perception technologies operate efficiently and effectively in commercial deployments, including supporting effective triage and resolution of issues related to this technology.\n Maintain an understanding of related research fields including machine learning, end-to-end learned systems, tracking systems, multi-sensor fusion, and behavior prediction.\n Lead design and specification of next-generation sensor suites to maximize May’s perception system performance and optimize cost.  Work with systems and hardware teams to support prototyping and evaluating future systems.\n Develop and maintain key performance indicators (KPIs) to track autonomy performance\n Identify key gaps and challenges in May’s autonomy perception technology. \n Construct and execute a roadmap to solve key challenges and work with other autonomy leaders to synchronize this roadmap with the roadmaps of other functions.\n Identify monthly, quarterly and yearly milestones to iteratively improve performance in both the short and long term.\n Take responsibility for the overall planning, execution, and success of complex technical projects and provide the team with technical leadership.\n Help set perception team hiring targets. Interview, hire, and manage a diverse team of talented perception engineers and scientists.\n Oversee the escalation of critical issues and opportunities within the autonomy team’s leadership, driving clear recommendations to maximize the effectiveness of the team with respect to company priorities and strategy.\n \n Skills and Abilities \n Success in this role typically requires the following competencies: \n \n Deep technical knowledge and demonstrated success in delivering innovative solutions in one or more of the fields of multi-sensor fusion, object detection, scene segmentation, tracking, and behavior prediction.\n A demonstrated strong attention to detail with the ability to understand, track, and efficiently mitigate technical, integration, and personnel risks.\n Demonstrated success in working in uncertain work environments with an ability to turn concepts and problems that are uncertain into effective, executable plans to resolve these issues.\n A proven ability to get the best out of others, set goals and expectations for others, communicate clearly and honestly, and discuss difficult topics.\n An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data.\n Proven ability to work with other peers in related","salary_min":220000,"salary_max":300000,"location":"Anywhere, USA","workplace":"remote","remote_scope":"restricted","job_type":"full-time","experience_level":"lead","tags":["computer-vision","healthcare","autonomous-vehicles","robotics"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8631724002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T18:29:13Z","expires_at":"2026-08-15T14:18:33.683401Z","created_at":"2026-07-15T14:20:04.118102Z","updated_at":"2026-07-16T14:18:33.806575Z","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/e5f45e3a-eaa5-43b4-acc0-5f2b36b3e1c2"},{"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":"268b8fee-dcaf-4f11-af4e-7d001dba4b5b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Division Operations Associate - Maneuver Dominance","slug":"division-operations-associate-maneuver-dominance-7e8e1620","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 Anduril’s Maneuver Dominance Division, one of Anduril’s fastest growing divisions, has assembled a diverse team of experts, including aerospace, mechanical, and electrical engineers, alongside software, robotics, artificial intelligence, sensor fusion, and data analysis specialists. Together, we create cutting-edge vehicle-centric hardware and software solutions that radically evolve the capabilities of our customers. We are fielding the next generation of autonomous vehicle systems to tackle the extremely challenging industry demands. Our focus is on delivering advanced tactical unmanned vehicle systems, battlefield intelligence, and flexible ground and air autonomy solutions. We are actively developing and iterating on a portfolio of next-generation vehicle platforms, including Omen, a Group 3 tail-sitter VTOL drone designed for advanced persistent intelligence, surveillance, \u0026 reconnaissance. Through this and other programs, Anduril is executing on substantial contracts to bring these capabilities to our customers. As a rapidly growing division, Maneuver Dominance is not just delivering products; we are building the fundamental enabling technologies that empower our systems with exquisite perception, sophisticated behaviors, and unparalleled capabilities. This deep investment fuels an expanded product portfolio where systems, including Omen and other platforms will form a coherent system-of-systems, enabling the end-to-end conduct of a variety of autonomous missions in the land, air, and tactical domains. If you are passionate about solving problems that have real impact and working on systems that directly contribute to achieving national strategic priorities, we want you to join Anduril’s Maneuver Dominance Division and help us build the future of defense capability.\n ABOUT THE JOB\n We are looking for a Division Operations Associate to join our rapidly growing Maneuver Dominance Division Operations team in Costa Mesa, CA . In this position, you will be responsible for supporting our internal business lines as well as the entire division. The Maneuver Dominance Division Operations team is a small but mighty team of talented business generalists who enable the division to scale through hyper-growth while breaking as few things as possible. We’re looking for someone to help us build out the business infrastructure required to grow this into Anduril’s largest division over the next few years. Our goal is to fundamentally reshape the way future peer to peer conflicts are fought by developing next generation of autonomous systems. \n WHAT YOU’LL DO\n \n Lead various strategic initiatives and special projects, as directed by General Managers and Division Operations Leads, to establish scalable operations across the portfolio, ranging from strategic and international finance, production and supply chain, facilities and real estate, security, etc\n \n Act as the connective tissue between efforts related to the design, development, and implementation of new processes, strategy, and execution plans\n \n Coordinate and prepare for executive leadership meetings, including setting agendas, tracking action items, and ensuring follow-through\n Support internal team operations: new employee onboarding, all hands, internal business reviews, and other division-wide events so that we rapidly ramp new employees and maintain a culture of “doing things differently”\n Support our corporate planning cycle by helping to build out and monitor performance against goals, financial plans, and headcount plans so we can hit our aggressive growth targets\n Establish the operating model and battle rhythm for a rapidly growing team with an emphasis on cross-division coordination and repeatable execution patterns\n \n REQUIRED QUALIFICATIONS\n \n You have 3+ years of experience in consulting, operations, finance, or general business analysis\n You love solving complex, ambiguous, cross-functional problems in a people-centric way\n You’re both high ownership and low ego, approaching everything with strong outcome orientation and high humility\n You get energy from being a thought partner for others and it excites you to spend time translating operational problems into data problems, and to then going and ex","salary_min":112000,"salary_max":149000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","computer-vision","cloud","autonomous-vehicles","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5185048007?gh_jid=5185048007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T15:53:55Z","expires_at":"2026-08-15T14:07:36.921925Z","created_at":"2026-07-15T14:08:48.518891Z","updated_at":"2026-07-16T14:07:37.056888Z","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/268b8fee-dcaf-4f11-af4e-7d001dba4b5b"},{"id":"072121d0-4400-4ea7-aba5-a62ac7232f44","company_id":"f36ec848-cb19-4b95-a680-6733e58086c0","title":"Senior Integration Test Engineer","slug":"senior-integration-test-engineer-18eb978c","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 Senior Integration Test Engineers serve as key stakeholders in the R\u0026D process. This role bridges simulation and on-road testing by validating vehicle system behavior in a controlled lab environment. Senior Integration Test Engineers will focus on both static vehicle-level and HIL testing, replaying real-world drive logs, and documenting system responses. This role is unique in which you will lead testing on HIL bench test setups in addition to static vehicle-level simulated driving.  \n As a Senior HIL Test Engineer, you will work closely with software, hardware, and systems engineers to architect the HIL infrastructure, pioneer new automation processes, and mentor the team in validating safety-critical systems in a fast-paced R\u0026D environment. \n Essential Responsibilities \n \n Lead the development and execution of comprehensive HIL test plans, focusing on the integration of autonomous software with autonomous system hardware \n Perform bench-level testing of sensors and compute modules \n Execute static vehicle-level HIL testing by simulating real-world driving scenarios in a controlled environment \n Execute structured test plans covering functional, regression, and fault-injection scenarios \n Measure and analyze software performance (latency, CPU/memory utilization, throughput) on target hardware to ensure the autonomy stack meets necessary requirements \n Design and implement automated test suites. Integrate HIL test results and automation workflows with cloud computing services (AWS) for scalable data analysis and regression tracking \n Monitor and debug vehicle communications \n Partner with Autonomy and Systems Engineering teams to define validation requirements and translate complex edge cases into repeatable HIL test cases. \n Ensure all anomalies are thoroughly documented. Champion product quality by contributing to acceptance criteria and safety-critical validation metrics \n \n Skills and Abilities \n \n Proven ability to construct and maintain HIL test environments \n Static vehicle-level or chassis dynamometer test experience \n Deep understanding of CAN networks and vehicle communication protocols \n Proficiency with Ethernet protocols (UDP and TCP)  \n Experience with CAN bus analysis tools (e.g., Intrepid Vehicle Spy, Vector CANoe/CANalyzer) \n Strong command of Linux environments for system configuration, log manipulation, and troubleshooting \n Expertise in Test Case Automation and scripting to reduce manual testing overhead \n Ability to prioritize complex deliverables and pivot testing strategies as autonomy software evolves \n Strong ability to translate low-level hardware bugs into actionable insights for high-level software teams \n Experience integrating test automation with cloud computing services (AWS) \n \n Qualifications and Experience \n Required \n \n Bachelor's degree in an applicable engineering field \n 5+ years experience testing complex safety-critical systems involving software, firmware, and/or hardware, preferably in an automotive context \n Direct experience with Hardware-in-the-Loop testing and system-level validation \n Valid driver’s license and clear driving record \n \n Desirable \n \n Master’s degree in an applicable engineering field \n Experience testing ADAS vehicles or autonomous robotic systems \n Cloud Operations: Experience using AWS for data storage, compute, or CI/CD integration \n Coding: Proficiency in Python or C++ for creating test scripts and data analysis tools \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: 0%-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 Account","salary_min":100000,"salary_max":125000,"location":"Ann Arbor, MI","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","healthcare","autonomous-vehicles","robotics"],"apply_url":"https://job-boards.greenhouse.io/maymobility/jobs/8631044002","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-13T13:56:05Z","expires_at":"2026-08-15T14:18:35.650791Z","created_at":"2026-07-15T14:20:06.277699Z","updated_at":"2026-07-16T14:18:35.768769Z","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/072121d0-4400-4ea7-aba5-a62ac7232f44"},{"id":"c8d7c8f4-7a62-4899-9006-8cc4861dc62e","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Software Engineer, Agentic Modeling \u0026 Simulation","slug":"software-engineer-agentic-modeling-simulation-f921e023","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 Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril’s Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. \n ABOUT THE JOB\n Anduril is looking for a full-stack software engineer to build agentic modeling and simulation systems for operational planning. This role sits at the intersection of applied AI, backend systems, model and simulation, wargaming, and mission software. You will build the systems that let humans and AI agents author scenarios, task simulated entities, inspect simulation state, reason about human and adversary behavior, and evaluate courses of action in near real time. The goal is to shorten military planning cycles from days to minutes by putting physics-backed simulation and AI-assisted planning directly in the hands of operators. \n WHAT YOU’LL DO \n \n Build agentic workflows that make modeling and simulation capabilities accessible through natural language, structured tools, APIs, and operator-facing product experiences.\n Design multi-agent architectures that model human decision-making, adversary responses, operational constraints, and plan tradeoffs across complex military operations.\n Integrate LLM tool use, function calling, retrieval, planning loops, evaluation hooks, and guardrails with simulation engines, physics/modeling backends, and mission planning systems.\n Build backend services and interfaces for scenario creation, entity tasking, simulation state retrieval, course-of-action generation, plan comparison, and real-time analysis.\n Partner with warfighters, model/sim experts, autonomy engineers, game/simulation engineers, and mission software teams to translate ambiguous planning workflows into reliable software.\n Improve observability, reproducibility, and evaluation for agent behavior so generated scenarios and recommendations are inspectable, explainable, and operationally useful.\n Learn and apply relevant DoD modeling and simulation tools and concepts, including campaign-level simulation, mission-level simulation, wargaming workflows, and systems such as AFSIM and STORM.\n \n REQUIRED QUALIFICATIONS\n \n Strong production software engineering experience building backend services, APIs, platforms, or integrations around complex stateful systems.\n Hands-on experience building AI/ML or LLM-powered software, ideally including tool/function calling, RAG, structured outputs, agent orchestration, MCP-style interfaces, or model evaluation.\n Proficiency in Python, Go, or a similar backend language, with the ability to work across service boundaries and integrate with external systems.\n A degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field.\n Ability to work directly with operators, warfighters, and technical SMEs to turn ambiguous operational planning needs into concrete product and engineering requirements.\n Strong judgment around reliability, safety, observability, and debugging for AI systems deployed in high-stakes environments.\n Eligible to obtain and maintain an active U.S. Top Secret security clearance.\n \n PREFERRED QUALIFICATIONS\n \n Experience with modeling and simulation, physics engines, wargaming tools, autonomy simulation, operations research, planning systems, or human/adversary behavior modeling.\n Experience with DoD modeling and simulation tools or concepts such as AFSIM, STORM, campaign-level simulation, mission-level simulation, or course-of-action analysis.\n Experience shipping production agentic systems, not only prototypes.\n Familiarity with gRPC/protobuf, Kubernetes, containerized deployments, distributed systems, observability, and secure or air-gapped environments.\n Experience in defense, aerospace, autonomy, robotics, gaming/simulation, command-and-control, or operational planning domains.\n US Salary Range\n $191,000 — $292,000 USD \n The salary range for th","salary_min":191000,"salary_max":292000,"location":"Costa Mesa, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["robotics","agents","cloud","llm","payments","generative-ai","api-design","computer-vision"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5184726007?gh_jid=5184726007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T17:35:34Z","expires_at":"2026-08-15T14:07:49.276885Z","created_at":"2026-07-12T14:06:33.966919Z","updated_at":"2026-07-16T14:07:49.40876Z","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/c8d7c8f4-7a62-4899-9006-8cc4861dc62e"},{"id":"ca995c89-5a09-434d-9bc7-3e90643b646b","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Software Engineer, Agentic Modeling \u0026 Simulation","slug":"software-engineer-agentic-modeling-simulation-ab786ea5","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 Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril’s Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. \n ABOUT THE JOB\n Anduril is looking for a full-stack software engineer to build agentic modeling and simulation systems for operational planning. This role sits at the intersection of applied AI, backend systems, model and simulation, wargaming, and mission software. You will build the systems that let humans and AI agents author scenarios, task simulated entities, inspect simulation state, reason about human and adversary behavior, and evaluate courses of action in near real time. The goal is to shorten military planning cycles from days to minutes by putting physics-backed simulation and AI-assisted planning directly in the hands of operators. \n WHAT YOU’LL DO \n \n Build agentic workflows that make modeling and simulation capabilities accessible through natural language, structured tools, APIs, and operator-facing product experiences.\n Design multi-agent architectures that model human decision-making, adversary responses, operational constraints, and plan tradeoffs across complex military operations.\n Integrate LLM tool use, function calling, retrieval, planning loops, evaluation hooks, and guardrails with simulation engines, physics/modeling backends, and mission planning systems.\n Build backend services and interfaces for scenario creation, entity tasking, simulation state retrieval, course-of-action generation, plan comparison, and real-time analysis.\n Partner with warfighters, model/sim experts, autonomy engineers, game/simulation engineers, and mission software teams to translate ambiguous planning workflows into reliable software.\n Improve observability, reproducibility, and evaluation for agent behavior so generated scenarios and recommendations are inspectable, explainable, and operationally useful.\n Learn and apply relevant DoD modeling and simulation tools and concepts, including campaign-level simulation, mission-level simulation, wargaming workflows, and systems such as AFSIM and STORM.\n \n REQUIRED QUALIFICATIONS\n \n Strong production software engineering experience building backend services, APIs, platforms, or integrations around complex stateful systems.\n Hands-on experience building AI/ML or LLM-powered software, ideally including tool/function calling, RAG, structured outputs, agent orchestration, MCP-style interfaces, or model evaluation.\n Proficiency in Python, Go, or a similar backend language, with the ability to work across service boundaries and integrate with external systems.\n A degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field.\n Ability to work directly with operators, warfighters, and technical SMEs to turn ambiguous operational planning needs into concrete product and engineering requirements.\n Strong judgment around reliability, safety, observability, and debugging for AI systems deployed in high-stakes environments.\n Eligible to obtain and maintain an active U.S. Top Secret security clearance.\n \n PREFERRED QUALIFICATIONS\n \n Experience with modeling and simulation, physics engines, wargaming tools, autonomy simulation, operations research, planning systems, or human/adversary behavior modeling.\n Experience with DoD modeling and simulation tools or concepts such as AFSIM, STORM, campaign-level simulation, mission-level simulation, or course-of-action analysis.\n Experience shipping production agentic systems, not only prototypes.\n Familiarity with gRPC/protobuf, Kubernetes, containerized deployments, distributed systems, observability, and secure or air-gapped environments.\n Experience in defense, aerospace, autonomy, robotics, gaming/simulation, command-and-control, or operational planning domains.\n US Salary Range\n $191,000 — $292,000 USD \n The salary range for th","salary_min":191000,"salary_max":292000,"location":"Washington, DC","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["computer-vision","robotics","cloud","generative-ai","llm","distributed-systems","agents","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5112335007?gh_jid=5112335007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T17:34:02Z","expires_at":"2026-08-15T14:07:49.201678Z","created_at":"2026-07-12T14:06:34.045024Z","updated_at":"2026-07-16T14:07:49.31935Z","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/ca995c89-5a09-434d-9bc7-3e90643b646b"},{"id":"d046593f-38a4-4a4d-9b8c-3b5a9cb1c36c","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Software Engineer, Air Defense, Integrations","slug":"senior-software-engineer-air-defense-integrations-3326a5ff","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 Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.\n ABOUT THE JOB \n We're seeking a integrations focused Senior Software Engineer to join our rapidly growing Air Defense team in Irvine, CA. As a Senior Software Engineer, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient ,  scalable , and  pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.\n WHAT YOU’LL DO  \n \n Travel 50% or more of time outside of the United States to build, test, and deploy capabilities in the real world\n Own the software solutions that are deployed to customers\n Write code to improve products and scale the mission capability to more customers\n Collaborate across multiple teams to plan, build, and test complex functionality\n Create and analyze metrics that are leveraged for debugging and monitoring\n Triage issues, root cause failures, and coordinate next steps\n Partner with end-users to turn needs into features while balancing user experience with engineering constraints\n \n REQUIRED QUALIFICATIONS  \n \n Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics\n 6+ years working with a variety of programming languages such as Python, C++, Rust, Go, JavaScript, etc.\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments\n Feature and algorithm development with an understanding of behavior trees\n Developing software/hardware for flight systems and safety critical functionality\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $191,000 — $253,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a ","salary_min":191000,"salary_max":253000,"location":"Irvine, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["cloud","robotics","agents","computer-vision","payments"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5184560007?gh_jid=5184560007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T16:09:47Z","expires_at":"2026-08-15T14:07:47.85719Z","created_at":"2026-07-12T14:06:32.686671Z","updated_at":"2026-07-16T14:07:47.992018Z","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/d046593f-38a4-4a4d-9b8c-3b5a9cb1c36c"},{"id":"2d1a797b-0e3a-48ad-96ae-0febe6a623f1","company_id":"e3915539-5a8f-4461-9f26-06366a918674","title":"Senior Software Engineer, Air Defense","slug":"senior-software-engineer-air-defense-8d232783","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 Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.\n ABOUT THE JOB \n We're seeking a Senior Software Engineer to join our rapidly growing team in Huntsville, AL. As a Senior Software Engineer on the Air Defense team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an  expedient ,  scalable , and  pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.\n WHAT YOU’LL DO  \n \n Own the software solutions that are deployed to customers\n Write code to improve products and scale the mission capability to more customers\n Collaborate across multiple teams to plan, build, and test complex functionality\n Create and analyze metrics that are leveraged for debugging and monitoring\n Triage issues, root cause failures, and coordinate next steps\n Partner with end-users to turn needs into features while balancing user experience with engineering constraints\n Travel up to 30% of time to build, test, and deploy capabilities in the real world\n \n REQUIRED QUALIFICATIONS  \n \n Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics\n 6+ years working with a variety of programming languages such as Python, C++, Rust, Go, JavaScript, etc.\n Experience building software solutions involving significant amounts of data processing and analysis\n Ability to quickly understand and navigate complex systems and established code bases\n A desire to work on critical software that has a real-world impact\n Eligible to obtain and maintain an active U.S. Secret security clearance\n \n PREFERRED QUALIFICATIONS \n \n Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling \u0026 simulation (M\u0026S) and physical systems\n Developing and testing multi-agent autonomous systems and deploying in real-world environments\n Feature and algorithm development with an understanding of behavior trees\n Developing software/hardware for flight systems and safety critical functionality\n Distributed communication networks and message standards\n Knowledge of military systems and operational tactics\n US Salary Range\n $165,000 — $218,000 USD \n The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:   \n  \n Benefits \n At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits . \n  \n \n Protecting Yourself from Recruitment Scams \n Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and","salary_min":165000,"salary_max":218000,"location":"Huntsville, Alabama, United States","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["computer-vision","agents","payments","robotics","cloud"],"apply_url":"https://boards.greenhouse.io/andurilindustries/jobs/5184546007?gh_jid=5184546007","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-10T15:55:04Z","expires_at":"2026-08-15T14:07:47.642789Z","created_at":"2026-07-12T14:06:32.513575Z","updated_at":"2026-07-16T14:07:47.757897Z","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/2d1a797b-0e3a-48ad-96ae-0febe6a623f1"},{"id":"90b670fb-c16e-4406-9cd7-c2e700e6570a","company_id":"c0136eba-1fff-477a-8968-c5435a645cd3","title":"Senior AI Infrastructure Engineer - Model Training","slug":"senior-ai-infrastructure-engineer-model-training-1ae1d299","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's AI is only as good as the speed at which we can train it. Every improvement to our models – from GigaFusionNet to large-scale world models – depends on infrastructure that turns thousands of hours of multimodal driving data into training throughput. We are looking for engineers who make model training fast: streaming massive camera, LiDAR, and radar datasets without stalling a single GPU, sharding data and models efficiently across nodes, and extracting every FLOP from the latest hardware. If you measure your impact in tokens per second and GPU utilization, this role is for you. In this role, you will: \n \n Design high-throughput data loading and streaming systems for multimodal sensor data (camera, LiDAR, radar), including dataset formats, sharding strategies, and prefetching pipelines that keep GPUs saturated \n Build and optimize distributed training infrastructure across multi-node GPU clusters, applying data, tensor, pipeline, and fully sharded (FSDP/ZeRO) parallelism to models that don't fit on a single device \n Maximize utilization of modern accelerators such as NVIDIA B200s through mixed-precision training (BF16/FP8), fused kernels, memory optimization, and communication/computation overlap \n Profile end-to-end training pipelines to find and eliminate bottlenecks across storage, network, CPU preprocessing, and GPU compute \n Develop scalable dataset construction pipelines that convert petabytes of raw driving logs into training-ready, streamable formats \n Partner with ML teams to scale new architectures from prototype to full-cluster training runs efficiently and reliably \n \n What you’ll bring: \n \n BS, MS, or PhD in Computer Science or a related field, and at least 2-3 years of industry experience in ML systems or infrastructure \n Hands-on experience with distributed training frameworks and techniques (PyTorch DDP/FSDP, DeepSpeed, Megatron, NCCL) and a strong grasp of parallelism trade-offs \n Experience building high-performance data pipelines for large-scale training, including streaming dataset formats (WebDataset, MosaicML Streaming/MDS, or similar), sharding, and storage/network-aware loading \n Deep understanding of GPU performance: mixed precision, memory hierarchy, kernel fusion, profiling tools (Nsight, PyTorch Profiler), and interconnects (NVLink, InfiniBand) \n Strong Python skills and proficiency in PyTorch internals; systems-level experience (C++/CUDA/Triton) a plus \n Passion for building the infrastructure that lets AI for the physical world train faster, scale further, and improve continuously \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 — $260,000 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,","salary_min":190000,"salary_max":260000,"location":"Mountain View, CA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["autonomous-vehicles","robotics","data-pipeline","gpu","pytorch","distributed-systems","machine-learning","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/kodiak/jobs/4310775009","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T16:07:51Z","expires_at":"2026-08-15T14:09:12.860026Z","created_at":"2026-07-10T14:08:04.242712Z","updated_at":"2026-07-16T14:09:12.9833Z","company_name":"Kodiak Robotics","company_slug":"kodiak-robotics","company_logo_url":"https://www.google.com/s2/favicons?domain=kodiak.ai\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/90b670fb-c16e-4406-9cd7-c2e700e6570a"},{"id":"9b918972-172d-4cf7-bea5-24effecf6a52","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Engineer Tech Lead, Embodied AI \u0026 Off-Board Performance Evaluation","slug":"principal-engineer-tech-lead-embodied-ai-off-board-performance-evaluation-69ed84ad","description":"Mission Summary: \n Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.\n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.\n We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.\n You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply. \n What You'll Be Doing: \n \n Embodied AI \u0026 LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.\n Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.\n Prompt Engineering \u0026 Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.\n AI Inference \u0026 Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.\n AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.\n Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.\n Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.\n Advanced Physical AI R\u0026D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks. \n \n What We're Looking For: \n \n 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.\n Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.\n Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.\n Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.\n Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.\n Experience with adversarial scenario generation and closed-loop simulation environments.\n Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.\n Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.\n Expert-level proficiency in Python and strong understanding of software development principles. \n \n Bonus Points (not required): \n \n Experience working with autonomous vehicle sensor data, including its processing and in","salary_min":200000,"salary_max":275000,"location":"Boston, MA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["robotics","rag","embeddings","data-pipeline","cloud","generative-ai","fine-tuning","llm"],"apply_url":"https://motional.com/open-positions/?gh_jid=7799671003#/7799671003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:10:05Z","expires_at":"2026-08-15T14:06:45.851131Z","created_at":"2026-07-10T14:05:50.176304Z","updated_at":"2026-07-16T14:06:45.976023Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9b918972-172d-4cf7-bea5-24effecf6a52"},{"id":"9cb51051-fb08-47c1-a84d-e0937ebe010e","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Engineer Tech Lead, Embodied AI \u0026 Off-Board Performance Evaluation","slug":"principal-engineer-tech-lead-embodied-ai-off-board-performance-evaluation-50d09b91","description":"Mission Summary: \n Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.\n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.\n We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.\n You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply. \n What You'll Be Doing: \n \n Embodied AI \u0026 LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.\n Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.\n Prompt Engineering \u0026 Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.\n AI Inference \u0026 Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.\n AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.\n Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.\n Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.\n Advanced Physical AI R\u0026D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks. \n \n What We're Looking For: \n \n 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.\n Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.\n Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.\n Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.\n Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.\n Experience with adversarial scenario generation and closed-loop simulation environments.\n Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.\n Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.\n Expert-level proficiency in Python and strong understanding of software development principles. \n \n Bonus Points (not required): \n \n Experience working with autonomous vehicle sensor data, including its processing and in","salary_min":200000,"salary_max":275000,"location":"Las Vegas, Nevada, United States","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["data-pipeline","llm","embeddings","fine-tuning","rag","autonomous-vehicles","cloud","robotics"],"apply_url":"https://motional.com/open-positions/?gh_jid=7799673003#/7799673003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:10:04Z","expires_at":"2026-08-15T14:06:45.689849Z","created_at":"2026-07-10T14:05:50.099596Z","updated_at":"2026-07-16T14:06:45.813343Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/9cb51051-fb08-47c1-a84d-e0937ebe010e"},{"id":"bd8a325e-af13-4567-9c46-1409196e7f88","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Engineer Tech Lead, Embodied AI \u0026 Off-Board Performance Evaluation","slug":"principal-engineer-tech-lead-embodied-ai-off-board-performance-evaluation-8c5b455c","description":"Mission Summary: \n Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.\n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.\n We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.\n You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply. \n What You'll Be Doing: \n \n Embodied AI \u0026 LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.\n Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.\n Prompt Engineering \u0026 Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.\n AI Inference \u0026 Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.\n AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.\n Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.\n Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.\n Advanced Physical AI R\u0026D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks. \n \n What We're Looking For: \n \n 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.\n Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.\n Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.\n Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.\n Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.\n Experience with adversarial scenario generation and closed-loop simulation environments.\n Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.\n Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.\n Expert-level proficiency in Python and strong understanding of software development principles. \n \n Bonus Points (not required): \n \n Experience working with autonomous vehicle sensor data, including its processing and in","salary_min":200000,"salary_max":275000,"location":"Pittsburgh, PA","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["data-pipeline","generative-ai","rag","llm","fine-tuning","robotics","embeddings","cloud"],"apply_url":"https://motional.com/open-positions/?gh_jid=7799677003#/7799677003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:10:03Z","expires_at":"2026-08-15T14:06:45.932167Z","created_at":"2026-07-10T14:05:50.334397Z","updated_at":"2026-07-16T14:06:46.079667Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/bd8a325e-af13-4567-9c46-1409196e7f88"},{"id":"e651da08-bc17-4c8c-b426-19a46cba7f02","company_id":"41d4f321-d748-4a4e-962f-dd5d23de3e43","title":"Principal Engineer Tech Lead, Embodied AI \u0026 Off-Board Performance Evaluation","slug":"principal-engineer-tech-lead-embodied-ai-off-board-performance-evaluation-65385fb7","description":"Mission Summary: \n Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai Motor Group, Motional is at the forefront of the physical AI revolution. Motional isn’t just building first-of-its-kind technology; we are transforming transportation to create safer streets and more sustainable mobility options.\n The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, for verifying and validating the autonomy stack, and for defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis in Las Vegas later this year.\n We are seeking a talented Principal Engineer to technically oversee the design, development, and deployment of a novel Embodied AI and Large Language Model (LLM)-based monitoring framework for off-board scenario understanding, intelligence evaluation, and root cause analysis. While this role will pioneer future off-board Vision-Language-Action (VLA) integrations for off-board analysis, it requires strong foundations as an Autonomous Vehicle Performance Metrics developer.\n You will lead the creation of a specialized, off-board evaluation layer that consumes AV drive logs and fleet data to automatically infer scenario safety and assess driving intelligence without running live on the vehicle. Your architectural designs will integrate with internal systems to form a complete pipeline that identifies safety incidents, enriches them with structured context, and conducts detailed root cause analysis to provide the Autonomy team with actionable direction. If you are an innovative individual contributor with a passion for overseeing the integration of complex, scalable data pipelines and state-of-the-art Embodied AI frameworks, we encourage you to apply. \n What You'll Be Doing: \n \n Embodied AI \u0026 LLM Framework Oversight: Technically oversee the architecture to identify, describe, and enrich events in historical vehicle logs using Multimodal LLMs.\n Multi-Modal Data Fusion: Oversee the off-board ingestion and fusion of semantic scene descriptions, ego-centric kinematics, and internal autonomy telemetry to create a holistic diagnostic context for LLM inference.\n Prompt Engineering \u0026 Model Integration: Develop structured prompting templates utilizing Contextual Prompting (CP), Chain-of-Thought (CoT), and In-Context Learning (ICL) to evaluate scenarios.\n AI Inference \u0026 Evaluation Scalability: Architect the integration of foundation models into the Metrics Engine (ME), designing efficient cascade filtering and log slice parallelization strategies to scale high-volume LLM inference across simulation and on-road drive logs while managing computational latency and costs.\n AV Performance Metrics Foundations: Define, design, and implement key metrics to evaluate autonomous vehicle performance, such as lane change capability, oscillations, and braking.\n Driving Policy Integration: Deploy and manage a Retrieval-Augmented Generation (RAG) vector database containing codified AV Driving Policies to ground off-board LLM evaluations in specific Operational Design Domains.\n Cross-Functional Technical Leadership: Serve as a technical escalation point and collaborate with Autonomy (Planner, Prediction, Perception) and Systems teams to deliver high-signal, enriched events.\n Advanced Physical AI R\u0026D: Drive the transition toward Direct Vector-LLM Fusion utilizing emerging Physical AI ecosystems and open-weights Vision-Language-Action (VLA) models to process telemetry off-board without text-translation bottlenecks. \n \n What We're Looking For: \n \n 10+ years of professional experience in software engineering, applied AI/ML, or autonomous vehicle systems development.\n Bachelor's degree in Computer Science, Engineering, Robotics, or a related field.\n Proven experience working with Large Language Models (LLMs) and Vision-Language Models (VLMs) for reasoning, parsing, and scene description.\n Experience with parameter-efficient fine-tuning and deploying open-weights models on internal infrastructure.\n Familiarity with local and cloud vector databases, such as LanceDB, for housing output vector embeddings.\n Experience with adversarial scenario generation and closed-loop simulation environments.\n Strong background leveraging software to develop frameworks, libraries, and tools for calculating and aggregating AV performance metrics.\n Strong analytical and problem-solving skills, particularly in the context of complex system performance evaluation.\n Expert-level proficiency in Python and strong understanding of software development principles. \n \n Bonus Points (not required): \n \n Experience working with autonomous vehicle sensor data, including its processing and in","salary_min":200000,"salary_max":275000,"location":"Remote (US)","workplace":"hybrid","remote_scope":"not_remote","job_type":"full-time","experience_level":"principal","tags":["cloud","rag","embeddings","robotics","data-pipeline","llm","generative-ai","fine-tuning"],"apply_url":"https://motional.com/open-positions/?gh_jid=7799653003#/7799653003","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T14:10:01Z","expires_at":"2026-08-15T14:06:45.769512Z","created_at":"2026-07-10T14:05:50.254594Z","updated_at":"2026-07-16T14:06:45.895672Z","company_name":"Motional","company_slug":"motional","company_logo_url":"https://www.google.com/s2/favicons?domain=motional.com\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/e651da08-bc17-4c8c-b426-19a46cba7f02"},{"id":"a78c1e6e-02a1-4e7c-aa23-10d382bb3863","company_id":"4c0fefc3-173a-4227-a823-4d67d3e70ff0","title":"Senior Engineering Manager, AI Infrastructure","slug":"senior-engineering-manager-ai-infrastructure-8804a5af","description":"Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.\n Our base salary range is $146,880 - $220,320, and in addition we have generous bonus plans to provide a competitive compensation package. \n Who You Are: \n We are seeking a Senior Manager, AI Infrastructure to run the day-to-day operation of the systems that power our research. Reporting to the VP of Engineering, you will own the execution and reliability of our high-performance computing (HPC) environment which includes on-prem GPU clusters and the software orchestration layer that schedules workloads across a hybrid cloud environment. This is a hands-on operational leadership role: your mandate is to keep the platform fast, reliable, and well-utilized, and to deliver against the roadmap set with your PM counterpart.\n Our ideal candidate is a:\n \n Systems Expert: You have a deep, hands-on understanding of the Linux kernel, container runtimes, and distributed systems. You understand the performance implications of InfiniBand topologies and NCCL optimizations.\n Execution-Focused Leader: You plan and deliver against near-term operational goals, keep reliability and researcher velocity high, and turn priorities set with leadership into shipped, dependable systems.\n Pragmatic Operator: You are comfortable making trade-offs between technical elegance and operational necessity. You triage and mitigate immediate risks, and know when to handle something yourself versus escalate.\n \n Who We Are:  \n Ai2 is a non-profit research institute at the forefront of open-source AI development. Unlike industry peers, our goal is to share our findings, data, code, and models with the global scientific community. \n Why Ai2: \n \n Open Science: Your work directly enables the release of open models like OLMo, providing the broader research community with tools they can't get elsewhere.\n Mission-Driven: We prioritize scientific impact over profit margins. This allows us to focus on building the \"right\" infrastructure for long-term research goals.\n Complexity at Scale: You will manage some of the most dense and high-performance compute environments currently in operation.\n \n Your Next Challenge: \n \n Cluster Operations: Manage the availability, performance, and health of our dense on-prem GPU clusters. Coordinate with hardware vendors and internal teams to keep physical infrastructure meeting the demands of frontier model training.\n Orchestration \u0026 Scheduling: Operate and improve Beaker, our internal orchestration platform by optimizing resource allocation and driving high utilization across on-prem assets and elastic cloud resources (AWS/GCP).\n Storage Operations: Execute and continuously improve our storage environment, balancing high-throughput performance for active training against cost-effective durability for petascale research data. Contribute to the longer-term storage roadmap.\n Resource Management: Manage GPU compute allocation against budget. Track utilization, surface the data, and recommend when to burst to the cloud versus investing in on-prem capacity, escalating larger trade-offs as needed.\n User Support \u0026 Velocity: Serve as the technical bridge to our research teams. Ensure infrastructure is an accelerator, not a bottleneck, for a diverse set of research objectives.\n Team Leadership: Manage and grow a team of systems engineers, SREs, and software developers. Set the bar for operational rigor, engineering quality, and a collaborative culture, and keep the team unblocked and delivering.\n \n What You’ll Need: \n \n Experience: 12+ years in infrastructure, systems engineering, or HPC (or an advanced degree with 8+ years), including 2+ years supervising a small engineering team (5+).\n Bachelor's degree in a related field : a relevant advanced degree may substitute for equivalent years of technical work experience.\n GPU/HPC Stack: Direct experience operating large-scale NVIDIA GPU clusters and high-performance networking (InfiniBand/RoCE).\n Orchestration: Strong background in Kubernetes, Slurm, or similar orchestration frameworks, particularly in hybrid-cloud configurations.\n Storage: Hands-on experience with distributed filesystems (e.g., WEKA, Ceph, Lustre) and cloud storage integration at scale.\n Software Development: Proficient in designing and managing SDLC processes including sprint planning and technical design reviews. Proficient in Go or Python.\n \n Physical Demands and Work Environment: \n The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.\n \n Must be able to remain in a stationary position for long periods of time. \n The ability to communicate information and ideas so others will unde","salary_min":146880,"salary_max":220320,"location":"Seattle, WA","workplace":"onsite","remote_scope":"not_remote","job_type":"full-time","experience_level":"senior","tags":["distributed-systems","robotics","healthcare","gpu","infrastructure"],"apply_url":"https://job-boards.greenhouse.io/thealleninstitute/jobs/8029564","is_featured":false,"is_sticky":false,"status":"active","published_at":"2026-07-09T00:47:06Z","expires_at":"2026-08-15T14:18:06.363366Z","created_at":"2026-07-09T14:16:58.241171Z","updated_at":"2026-07-16T14:18:06.487471Z","company_name":"Allen Institute for AI","company_slug":"allen-institute-for-ai","company_logo_url":"https://www.google.com/s2/favicons?domain=allenai.org\u0026sz=128","quality_score":90,"url":"https://aidevboard.com/job/a78c1e6e-02a1-4e7c-aa23-10d382bb3863"}],"market_demand_pack":{"amount_cents":2900,"api_checkout_url":"https://aidevboard.com/api/v1/checkout?product_id=aidevboard_ai_skills_demand_pack","checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","currency":"USD","description":"Full ranked public AI/ML demand CSV, source job URLs, and decision brief with market and offer angles.","fulfillment":"automatic_email_after_paid_checkout","human_checkout_url":"https://aidevboard.com/market-demand-pack?qc=api-jobs-market-demand-pack\u0026utm_campaign=skills_demand_pack\u0026utm_medium=jobs_api\u0026utm_source=api","name":"AI Market Demand Pack","next_step":"Open checkout_url for Stripe Checkout, or call api_checkout_url to get the non-charging checkout handoff payload.","price_usd":29,"product_id":"aidevboard_ai_skills_demand_pack","quote_url":"https://aidevboard.com/api/v1/quote?product_id=aidevboard_ai_skills_demand_pack"},"page":1,"per_page":20,"total":1090,"total_pages":55}