Join the team bringing autonomy to the built world

At Bedrock, we're moving AI out of the lab and onto real job sites. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. We retrofit the heavy equipment contractors already own, starting with excavators, so experienced crews can safely take on more projects and deliver more of the critical infrastructure our society needs.

In August 2026, Bedrock-equipped excavators began doing fully autonomous, paid work on live commercial job sites. We've more than doubled our customer base since 2025, and our machines now work with contractors across the South, Midwest, and Mid-Atlantic

In October 2026, we raised a $600M Series C co-led by CapitalG and Emergence Capital, bringing our total funding to nearly $1B. We're using it to put more autonomous machines to work, build the field and operations teams behind every deployment, and expand into new machine types and job-site tasks.

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 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.

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, 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.

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 hardware/software boundary

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

Preferred Qualifications

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)