Software Engineer, Onboard Platform

Join the team bringing advanced autonomy to the built world At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us. The Role The Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale across multiple machines, variations, models and environments. Our software keeps every machine working reliably hours from the nearest engineer, in harsh environments and on lossy connectivity, doing real work on billion-dollar projects. We're looking for Senior and Staff Software Engineers to architect, build, and own maj [... source excerpt omitted ...] s 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. In this role, you will: 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, [... source excerpt omitted ...] erate development and validation across engineering Lean into AI and agents, from automating development workflows to fleet analysis, triage, troubleshooting, and more. Required Qualifications 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 har