Principal Software Engineer, Onboard InfrastructureActive$258K–$387K

The opportunity

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy…

What you'll do

  • Define and drive technical direction for Nuro’s onboard infrastructure across: Device Platform, Performance, and Onboard Systems.

  • Architect core onboard systems for embedded compute, sensor integration,: runtime frameworks, inter-device communication, and distributed execution across current and future vehicle platforms.

  • Lead system-level performance and reliability efforts, including latency: reduction, resource efficiency, memory management, thread/process lifecycle management, observability, automated testing, and continuous validation.

  • Build foundational libraries, APIs, tools, and frameworks that enable: autonomy and infrastructure teams to develop reliable, low-latency, high-performance software.

  • Develop onboard distributed systems, including high-performance communication: between compute nodes, module orchestration, monitoring, logging, diagnostics, and large-scale autonomy/sensor data pipelines.

  • Diagnose complex, hard-to-reproduce failures across software, hardware,: sensors, compute, networking, and autonomy workloads; drive root cause, mitigation, and long-term prevention.

What they're looking for

  • Partner with autonomy, hardware, safety, validation, operations, and: suppliers to define requirements, evaluate and integrate next-generation platforms, and ensure safe, reliable deployment.
  • Translate ambiguous product, safety, and autonomy needs into scalable: technical architecture; align teams on design direction, execution plans, interfaces, and long-term platform strategy.
  • Mentor engineers, establish engineering best practices, and raise the: technical bar across Onboard Infrastructure and partner teams.
  • Master’s degree or PhD in Computer Science, Electrical Engineering, Computer: Engineering, Robotics, or related field.