Software Engineer, Onboard Systems

Nuro Nuro · Robotics · CA · Fleet Infrastructure

Software Engineer focused on building the next-generation onboard infrastructure for autonomous driving systems. This includes inter-process communication, logging, monitoring, execution, and state management, with a strong emphasis on low-latency and high reliability. The role involves collaborating with autonomy, hardware, AI Platform, and systems/safety teams to ensure the entire autonomy stack functions safely and smoothly. Responsibilities include developing distributed systems within the vehicle, high-performance communication between nodes, logging and data collection frameworks, and frameworks for controlling and monitoring autonomous modules. The role also involves building data pipelines and diagnostics tools to enhance onboard software reliability and operational efficiency, and troubleshooting complex system performance issues.

What you'd actually do

  1. Work on distributed systems inside the vehicle
  2. Develop high-performance communication between multiple nodes
  3. Develop logging infrastructure and data collection frameworks for massive volume autonomy and sensor data
  4. Develop frameworks to start, control, and monitor autonomous modules
  5. Collaborate with other software teams to build foundational libraries and interfaces, with emphasis on low-latency and high reliability

Skills

Required

  • BS/MS/PhD in Computer Science or 2+ years of Equivalent industry experience
  • Strong system fundamentals
  • Strong C++ skills
  • Solid experience developing production-quality software in C++ and Python in areas like self-driving, robotics, embedded Linux system, telecommunication, and other technology industries
  • Deep understanding on Linux operating systems
  • Proven ability to diagnose and resolve complex system performance bottlenecks through analytical troubleshooting

Nice to have

  • Experience with ROS, Apollo Cyber RT, Iceoryx or other robotics frameworks
  • Robotics experience
  • ML inference optimization experience
  • Computer architecture experience
  • Experience with GPU programming or NVidia Orin Platform

What the JD emphasized

  • high-performance
  • highly reliable
  • low-latency
  • high reliability
  • ML inference optimization experience