- Robot type
- Warehouse and Logistics
- Location
- PasadenaCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Oct 20, 2026
Applied & Research Scientist - Safe Autonomy Frontiers (SAF) Lab, Safe Autonomy Frontiers (SAF) Lab
Job description
We are seeking Applied and Research Scientists to join the Safe Autonomy Frontiers (SAF) Lab. In this role, you will develop and deploy the science of safe autonomy on highly dynamic robots, advancing the frontier through both foundational research and realization on hardware. You will contribute to achieving safe autonomy across three key areas: control barrier function (CBF) theory for robust and performant safety on hardware; safe reinforcement learning for agile whole-body control; and layered safety filters that interface with learning, perception, and semantic reasoning systems.
Key job responsibilities -Advance the science of safe autonomy from formal foundations to the integration…
Job requirements
- PhD or equivalent research experience
- Master’s degree and 3+ years of applied science, research, or robotics engineering experience — OR a PhD — in computer science, robotics, control, mechanical engineering, electrical engineering, or a related field.
- Hands-on experience developing and deploying control algorithms and/or learning policies on physical robotic hardware in a research or production setting (not simulation-only).
- Working knowledge of safety-critical control, including control barrier functions and safety filters.
- Proficiency in C++ and Python, with a track record of implementing control algorithms and/or learning policies in real systems.
- Experience with physics simulators for robotics (e.g., Isaac Gym/Sim, MuJoCo, PyBullet).
- Demonstrated technical impact through shipped systems, patents, or publications at top-tier venues (e.g., CDC, ACC, L-CSS, ICRA, IROS, RSS, RA-L, Automatica, TAC, TRO).
- Experience in professional software development, including production code quality, testing, and deployment practices.
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