More jobs:
Robotics SDE, Safe Autonomy, SAF Lab
Job in
Pasadena, Los Angeles County, California, 91106, USA
Listed on 2026-09-02
Listing for:
Amazon
Full Time
position Listed on 2026-09-02
Job specializations:
-
Software Development
Robotics
Job Description & How to Apply Below
Software Dev Engineer
We are seeking a Software Dev Engineer to join the SAF Lab. In this role, you will own the software infrastructure that enables this next-generation safety layer to work universally across different platforms, including dynamically stable robots. You will interface with autonomy stacks, learning-based locomotion and whole-body controllers, sensing and perception, to create hardware abstractions that enable the testing of next-generation safety filters on highly dynamic robotic systems.
As a result, you will be central to the hardware testing and evaluation that will play an essential role in evaluating the research and innovations in the SAF Lab.
Key job responsibilities:
- Design, implement, and maintain the software integration layer that enables SAF Lab to interface with diverse robot platforms (mobile robots, manipulators, dynamically stable robots)
- Build robust abstractions and APIs that decouple the safety layer from platform-specific hardware, enabling rapid deployment across new robot form factors
- Collaborate with motion planning, learning, perception, and controls teams to ensure seamless data flow and real-time interfaces between safety systems and autonomy stacks
- Have knowledge of running and maintaining robotics hardware, debugging and mitigating hardware testing issues, and evaluating control policies on hardware.
- Write high-quality, well-tested, and maintainable code in C++ and/or Python for real-time robotics applications
- Define integration testing strategies and build both simulation and hardware validation pipelines to verify safety behavior across platforms
- Contribute to system design reviews, technical documentation, and cross-team alignment on interface contracts
- Identify and resolve performance bottlenecks in real-time safety-critical software paths
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