Amazon

Software Development, subsidiaries

SeniorPlatformEngineer

$185–250k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Platform Engineer at Amazon. Skills: Robotics Platform, Software Development, Embedded Systems, AI Capabilities. Architect robotics platform backbone. Extend robotics platform backbone”

Industry & Context.

Software Development, subsidiaries
Problems you'll solve

Performance Optimization; Resource Optimization; Debugging; Troubleshooting

What They're Looking For.

Must Have

5+ years software development, 5+ years programming, 5+ years architecture design, Mentor or tech lead experience, Master's degree in CS or EE, 2+ years electrical theory, 2+ years robotics components, 2+ years automated equipment, Proficiency in C++, Proficiency in Python, Experience with ROS2, Experience with real-time systems, Experience with performance-critical software, Understanding of OS fundamentals, Understanding of Linux kernel, Understanding of process scheduling, Understanding of inter-process communication

Nice to Have

5+ years full SDLC, 3+ years embedded firmware development, Familiarity with NVIDIA platforms, Experience with embedded Linux, Experience with custom OS builds, Familiarity with Yocto, Familiarity with Buildroot, Familiarity with robotics simulation, Familiarity with Gazebo, Familiarity with Isaac Sim, Experience with HIL testing

What You'll Do.

Architect robotics platform backbone

Extend robotics platform backbone

Optimize platform components

Ensure real-time operation

Ensure efficient resource utilization

Interface with low-level firmware

Integrate hardware capabilities

Develop logging tooling

Develop diagnostics tooling

Develop debugging tooling

Partner with perception teams

Partner with planning teams

Partner with controls teams

Define platform interfaces

Drive new capabilities forward

Contribute to testing infrastructure

Contribute to simulation infrastructure

Validate platform reliability

Validate platform performance

How You'll Work.

Team & Collaboration

Cross-functional teams; Perception teams; Planning teams; Controls teams

Full Job Description

We are looking for a Robotics Platform Engineer to extend and optimize the core software platform powering our robots. In this role, you will architect and develop the backbone of our robotics stack—including communications infrastructure, service orchestration, and the integration layer that enables perception, planning, and control modules to operate seamlessly. You will also optimize platform components to run efficiently on resource-constrained edge devices and interface with low-level firmware, both developed in-house and sourced from partners. This role sits at the intersection of our software stack, bridging low-Level embedded systems with high-Level AI capabilities. You will collaborate closely with cross-functional teams across the organization to ensure the platform remains performant, scalable, and reliable as we continue to expand our capabilities. Key job responsibilities - Architect and extend the robotics platform backbone, including inter-process communication (IPC), service orchestration, and resource management. - Optimize platform components for performance on resource-constrained edge devices, ensuring real-time operation and efficient resource utilization. - Interface with low-Level firmware layers—both in-house and from external partners—to integrate hardware capabilities into the platform. - Develop robust logging, diagnostics, and debugging tooling for on-robot systems. - Partner with perception, planning, and controls teams to define clear platform interfaces and drive new capabilities forward. - Contribute to testing and simulation infrastructure to validate platform reliability and performance. About the team Fauna Robotics, an Amazon company, is building capable, safe, and genuinely delightful robots for everyday life. Our goal is simple: make robots people actually want to live and interact with in everyday human spaces. We believe that future won’t arrive until building for robotics becomes far more accessible. Today, too much effort is

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