Generalist

Own the real-time control software that turns model intentions into safe, smooth actions across industrial and custom robots. This hands-on role spans low-level firmware, robotics controls, production deployment, and collaboration with ML and hardware teams.

Own high-impact optimizations across ML training and on-robot inference systems, from CUDA kernels to model architecture and hardware bottlenecks. Help advance the performance of embodied foundation models powering general-purpose robots.

Own the GPU, data, and inference infrastructure powering Generalist’s large-scale robot foundation models. This role combines distributed ML systems with real-time, on-robot inference at demanding scale.

Own the cloud infrastructure powering high-scale robotics data processing, APIs, services, and monitoring. You’ll manage CPU/GPU compute and petabyte-scale storage while maintaining security across the platform.

Build end-to-end distributed systems that power AI models and robot applications, from large-scale data pipelines and ML training to real-world robot testing. This role combines Python services, cloud infrastructure, machine learning, and robotics.

Build full-stack web applications, APIs, and workflows that help customers, researchers, and operations teams evaluate, train, and run robots. The role combines modern web engineering with AI-assisted development in a robotics-focused environment.