Amazon
Senior Robotics SDE, Safe Autonomy, Compass
$168K–$227K
Pasadena, CA +1 · Senior · Full-time · Posted Sep 8, 2026
- Location
- Pasadena, CA
North Reading, MA - Experience
- 5+ years of non-internship professional software development; 5+ years programming; 5+ years leading design or architecture. Preferred: 5+ years of full software development life cycle experience.
- Education
- Master's or PhD in Robotics, Computer Science, Controls, or a related field (preferred).
About the job
Integrate Compass safety software across diverse robot platforms, building scalable real-time interfaces and validation systems for safe autonomy.
What you'll do
- Design and maintain software integration layers, abstractions, and APIs for safety modules across robot platforms.
- Collaborate with autonomy teams and integrate safety systems with motion planning, perception, controls, and safety-rated hardware and firmware.
- Build testing and simulation validation pipelines, resolve real-time performance issues, and mentor engineers.
What they ask for
- 5+ years of non-internship professional software development experience, including 5+ years programming in at least one language.
- 5+ years leading design or architecture of new and existing systems.
- Experience as a mentor, tech lead, or engineering team lead.
- Proficiency in C++, Rust, and/or Python; experience developing for robotic, embedded, or safety-critical systems and designing multi-platform abstractions or APIs.
Nice to have
- Master's or PhD in Robotics, Computer Science, Controls, or a related field.
- Experience with control barrier functions, safety verification, RTOS, safety-rated firmware, multiple robot types, reinforcement learning, foundation models, or robotics simulation.
Pay
168,100.00 - 227,400.00 USD annually (base salary); 168,100.00 - 227,400.00 USD annually (base salary); 168,100.00 - 227,400.00 USD annually (base salary)
Tools
C++, Rust, Python, ROS/ROS2, RTOS, IEC 61508, ISO 13849
AI focus
Integrate safety with reinforcement learning and foundation models on robotic systems; experience deploying these is preferred.
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