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Bedrock Robotics

Robot type
Construction
Location
San FranciscoCaliforniaUSA
Job type
Hardware
Posted
Aug 6, 2026
Full-time

Head of Validation and Systems Engineering

Job description

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.

We are seeking a Head of Validation and Systems Engineering to…

Job responsibilities

  • Safety validation of the system. Design the metrics, scenario libraries, and architectural coverage that quantify end-to-end behavioral safety — and make them hold up as the machine set and task set expand.
  • A validation architecture that generalizes. Decide what evidence is platform-independent and what must be re-established per machine, per task, per site.
  • Systems engineering. Own requirements decomposition and traceability from mission-level intent through subsystems, and use validation findings to expose the gaps, ambiguities, and conflicts that feed back into design.
  • V&V strategy and infrastructure. Choose the right instrument for each claim — log playback, closed-loop physics simulation, structured proving-ground testing, or on-site work — and specify the tooling and sim…
  • Hardware and functional safety. Validate the sensing, compute, and actuation kit we install on customer machines, including functional-safety readiness of safety-critical paths, as that kit is ported onto new platforms.
  • The org. Grow a team of software, systems, test, and hardware engineers plus data scientists, and scale it ahead of the machine count rather than behind it.
  • Decision-grade reporting. Define the KPIs — verification coverage, defect trends, release readiness, system maturity — and turn dense test data into the small number of charts that let leadership, customers, and…

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