Sr. Embedded Software Engineer, Robotics Platform

A senior embedded software role focused on building and maintaining the robotics platform that powers a fleet of autonomous sidewalk delivery robots. The work spans modern C++ on embedded Linux, with end-to-end ownership of platform components and close collaboration with autonomy and systems teams on safety-critical behavior.

• Design, develop, test, and maintain robotics middleware and application frameworks using modern C++ on embedded Linux.
• Own significant platform components from technical design and implementation through validation, deployment, and live operation across the robot fleet.
• Partner with consumer software teams to identify reliability, performance, and developer-experience gaps and ship reusable solutions.
• Collaborate with autonomy and systems engineering on risk assessments, failure analysis, fault-handling strategies, and software architecture.
• Translate system-level safety and reliability requirements into software behavior, interfaces, and verification strategies.
• Build instrumentation, benchmarks, logging, tracing, and fleet-level metrics that surface software health and reliability.
• Diagnose complex system-level issues spanning concurrency, scheduling, interprocess communication, networking, and constrained compute resources.
• Lead technical design and code reviews, contribute to engineering standards, and mentor other engineers.

• Bachelor's degree in Computer Science, Robotics, Computer Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience.
• 5+ years of professional software engineering experience, including significant production work in modern C++ (C++17 or newer).
• Experience developing and debugging systems software in embedded Linux environments.
• Strong grasp of multithreaded programming, concurrency, synchronization, interprocess communication, and systems-level development.
• Background designing software for latency-sensitive, safety-related, real-time, or high-reliability systems.
• Experience profiling and optimizing embedded software for performance, reliability, and resource utilization.
• Demonstrated ability to independently own complex software components from design through deployment.
• Strong troubleshooting skills across software and hardware boundaries and clear written and verbal communication.

• Middleware experience for robotics, autonomous vehicles, or similarly complex systems.
• Production software deployment on NVIDIA Jetson or comparable embedded compute platforms.
• Linux internals knowledge covering scheduling, resource management, device interfaces, and IPC mechanisms.
• Exposure to fault-tolerant architecture, failure-mode analysis, or functional safety.
• Experience with distributed systems, RPC frameworks, and serialization formats such as Protocol Buffers, Flat Buffers, or Cap'n Proto.
• Telemetry, observability, or health-monitoring work for robotics or device fleets.
  
  Integrating software with sensors, embedded hardware, or other robotic system components.