Postdoc: Safe Autonomy & Robotics Research

Amazon; Pasadena (CA); Vor Ort; USD 136.000 - 184.000; Vollzeit

Benefits dieser Stelle

RSUs

Health insurance

401(k) match

Paid time off

Parental leave

Zusammenfassung

Amazon SAF Lab seeks a PhD‑level researcher to advance safe autonomy for mobile and robotic platforms. You will work on control barrier functions integrated with perception and learning, and evaluate methods on high‑fidelity simulators before deploying to hardware.

The role emphasizes publishing in top venues and contributing to Amazon's leadership in robotics research. You will collaborate with ML, controls, and mechanical engineering teams to set a science roadmap and translate theory into

Qualifikationen

• PhD in a field related to control, robotics, or learning.
• Deep understanding of safety‑critical control and safety filters.
• Proficient in C++ and Python with real control/learning code.
• Experience with physics simulators (Isaac Gym/Sim, MuJoCo, PyBullet).
• Publications in top robotics/ML venues.

Aufgaben

• Advance safe autonomy research across theory, learning, perception, and control.
• Build simulation and evaluation pipelines for large‑scale validation.
• Develop sim‑to‑real transfer pipelines for deploying controllers on hardware.
• Deploy methods on dynamically stable robots and validate in practice.
• Publish research in leading robotics, control, and ML venues.
• Collaborate with product teams and science leaders to shape a science roadmap.

Kenntnisse

C++

Python

Control algorithms

Learning policies

Safety-critical control

Publications

Ausbildung

PhD in relevant field

Tools

Isaac Gym/Sim

MuJoCo

PyBullet

Jobbeschreibung

Amazon SAF Lab seeks a PhD‑level researcher to advance safe autonomy for mobile and robotic platforms. You will work on control barrier functions integrated with perception and learning, and evaluate methods on high‑fidelity simulators before deploying to hardware.

The role emphasizes publishing in top venues and contributing to Amazon's leadership in robotics research. You will collaborate with ML, controls, and mechanical engineering teams to set a science roadmap and translate theory into