Software Engineer, Onboard Platform

About the role

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.

Responsibilities

• 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

Qualifications

Required:

• 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

Preferred:

• 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