Top Tech Jobs & Startup Jobs

Design and implement full-stack, infrastructure, robotics, and graphics software for autonomy products. Own technical and product decisions, collaborate with domain experts and customers, and deliver features and tools to accelerate autonomy development workflows.

Conduct research on reinforcement learning (large-scale closed-loop RL and VLA post-training) for robotics and dexterous manipulation; publish at top conferences; collaborate with research engineers to test and deploy algorithms to autonomy and robotics products using large-scale data and training infrastructure.

Design and implement low-speed motion planning and control modules for autonomous vehicles, characterize vehicle dynamics to close sim-to-real gaps, evaluate academic research, and build optimal-control solutions (e.g., nonlinear MPC, MPPI) deployable on production vehicle platforms.

Develop, integrate, and test path-planning and autonomy software for aerial platforms (Group 1-5). Implement sampling- and grid-based planners, outer-loop control, and integrate GNC algorithms onto OEM hardware. Collaborate with cross-functional teams and DoD partners; support testing on real systems and simulations.

Build and maintain large-scale data and ML platforms to ingest, process, store, label, and transform petabytes of multimodal sensor data. Develop high-performance distributed processing systems and data curation/tagging tooling. Collaborate with cross-functional teams to enable dataset discovery and training-ready pipelines using modern data stack technologies.

Design and implement full-stack, infrastructure, robotics, and graphics software for autonomy products. Own technical decisions, work closely with users, and build features and tools that accelerate customers' autonomy development workflows.

Build and maintain Android/Android Automotive OS middleware from front-end to HAL. Collaborate across application, middleware, and hardware layers to design, implement, and ship platform features and tools for vehicle software at scale.

Design, build, and operate large-scale ML training and evaluation infrastructure for RL/AI research. Enable distributed, cost-aware GPU training, benchmarking, data curation, and continuous evaluation; collaborate with research and platform teams to productionize models.

Conduct research on humanoid and general robotics hardware and human data collection, build and utilize large-scale and deformable-object simulation for RL training, and develop human data processing methods including retargeting, pose estimation, and SLAM. Collaborate with research scientists and engineers to produce high-quality publications for top-tier conferences.

Design and implement C++11+ software across the full stack, infrastructure, robotics, and graphics for autonomy products. Own technical and product decisions, write design documents, mentor engineers, and collaborate with domain experts to build tools and features for customers' autonomy workflows.