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Amazon

Robotics SDE, Safe Autonomy, SAF Lab

OnsiteOther rolesNot yet verified

United States, CA, PASADENA; United States, CA, Pasadena

Original posting date
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Nov 2, 2026

Saved job description

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

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

1. Medical, Dental, and Vision Coverage

2. Maternity and Parental Leave Options

3. Paid Time Off (PTO)

4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

Work with the inventor of control barrier functions in the Safe Autonomy Frontiers (SAF) Lab. The first industry research lab in safe autonomy, developing a universal safety layer for the next generation of robotic systems: mobile robots, manipulators, mobile manipulators, and future platforms with dynamic stability. You will push the frontiers of performant safety for highly dynamic robots: CBF theory integrated with perception and learning, evaluated on next-generation robots. Your work will underpin robots operating alongside people at Amazon's unprecedented scale.

Requirements: - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

- 5+ years of experience in robotics software development, including work with real robot systems

- Proficiency in C++ and/or Python with experience writing production-quality code for real-time systems

- Experience developing software for robotic systems, embedded platforms, or safety-critical applications

- Familiarity with robotics middleware (e.g., ROS/ROS2) and real-time communication frameworks

- Experience designing software abstractions, APIs, or hardware abstraction layers for multi-platform deployment

- Strong understanding of software engineering best practices including version control, CI/CD, code review, and testing

Location & listing notes

Locations describe the saved posting and do not confirm residence eligibility. Confirm qualifications, travel, restrictions, and availability with the employer.

Source-listed locations: US, PASADENA, California; US, Pasadena, California.

Listed states: CA.

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