Software Engineer, Onboard Platform

We're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our onboard platform, from the OS, drivers, and system services up through the runtime frameworks our autonomy stack is built on. You'll take these systems from first bring-up through reliable operation in the field, keeping the platform fast, secure, and dependable at fleet scale.

- Bring up next-generation compute and sensors as we expand to new machine types

- Develop the core system services that keep a fleet running reliably: software updates, lifecycle management, data logging, health monitoring, and connectivity

- Architect and develop the onboard runtime and middleware for execution, communication, configuration, and observability that let autonomy teams move fast and ship to multiple machine types

- Optimize and benchmark onboard system performance across CPU, GPU, and memory for mixed-criticality, real-time workloads

- Expand diagnostics and observability across the onboard stack, enabling a small team to keep a growing fleet healthy

- Build internal tools, frameworks, and test infrastructure that accelerate development and validation across engineering

- Lean into AI and agents, from automating development workflows to fleet analysis, triage, troubleshooting, and more.

- Experience building and shipping embedded systems in robotics, automotive, drones, or other high-performance embedded contexts

- Strong programming skills in a systems language such as C++ or Rust, plus fluency in Python for scripting and analysis

- Solid foundation building software on Linux-based systems, with the versatility to work up and down the stack, from services and applications to performance tuning and system internals

- Comfortable developing, automating, and debugging across the hardware/software boundary

- Track record of leading projects, driving design decisions, and working effectively across hardware, autonomy, and platform teams

- Hands-on work with real-world sensing systems, including cameras, lidar, GPS/GNSS, IMUs, radar, or other fielded sensors

- Background in OTA, security, connectivity, telemetry, diagnostics, or other production-hardening areas for connected fleets

- Familiarity with the NVIDIA Jetson ecosystem, including optimizing ML inference and other GPU workloads on embedded compute (e.g., CUDA, TensorRT)

- Experience with Rust in production or performance-critical systems

- Prior work on safety-critical systems

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.