Sr. Applied & Research Scientist - Safe Autonomy Frontiers (SAF) Lab, Safe Autonomy Frontiers (SAF) Lab

What you'll do

• Advance safe-autonomy research from formal foundations through integration with learning and perception to hardware validation.
• Test and validate next-generation robotic hardware, including locomotion, manipulation, and loco-manipulation.
• Publish research and collaborate with SAF Lab and Amazon production teams to deploy robotics research at scale.

What they ask for

• PhD, or Master's degree and 3+ years of industry or academic research experience; the posting also specifies a Master's degree and 3+ years of applied science, research, or robotics engineering experience, or a PhD, in a relevant field.
• Hands-on experience developing and deploying control algorithms and/or learning policies on physical robotic hardware.
• Working knowledge of safety-critical control, including control barrier functions and safety filters.
• Proficiency in C++ and Python, plus experience with robotics physics simulators and demonstrated technical impact through shipped systems, patents, or top-tier publications.

Nice to have

• Professional software development experience and experience taking robotics research from prototype to deployed product.
• Knowledge of learning-based robotics, perception, control architectures, reachability, and/or real-time deployment constraints.

Pay

167,100.00 - 226,100.00 USD annually (base salary)

Tools

C++, Python, Isaac Gym/Sim, MuJoCo, PyBullet, MPC, MPPI, LiDAR

AI focus

Safe reinforcement learning for agile whole-body control and layered safety filters integrated with learning, perception, and semantic reasoning.