Operations - Quality Engineering Lead at Bedrock Robotics in San Francisco, CA

  • Company: Bedrock Robotics
  • Location: San Francisco, CA
  • Job type: full time
  • Workplace: remote
  • Posted: 2026-06-18

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Job description

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. Role Overview: We are seeking a Product Quality Engineer to establish and drive end-to-end quality strategy across hardware development and robotic fleet operations. This role sits at the intersection of engineering, manufacturing, and field operations, ensuring product reliability, scalability, and performance from early prototyping through high-volume production and real-world deployment. You will own quality systems, metrics, and continuous improvement initiatives across the full lifecycle—spanning design, supplier quality, manufacturing execution, and field performance—while leveraging modern tools including automation, diagnostics, and AI-driven workflows. Key Responsibilities: Product & Design Quality Lead Design for Quality initiatives, including Design for Manufacturing (DFM) and Design for Assembly (DFA) Partner with hardware, electrical, and software engineering teams during EVT/DVT/PVT phases to ensure robust design validation Define and enforce quality gates, risk assessments (FMEA), and validation plans Drive design improvements based on failure data, field insights, and reliability testing Risk Management : Proactively identify and mitigate business-critical risks and dependencies that may impact delivery or operational performance. Develop contingency plans as necessary and maintain visibility to the relevant company functions of major issues and alerts. Manufacturing & Supplier Quality Establish and manage Incoming Quality Control (IQC) , In-Process Quality Control (IPQC) , and Outgoing Quality Control (OQC) frameworks Develop supplier quality strategy, including qualification, audits, and performance management Implement process controls, yield tracking, and defect reduction initiatives across contract manufacturers Lead root cause analysis and corrective/preventative actions (CAPA) for production issues Reliability & Validation Define reliability requirements and test strategies (HALT/HASS, environmental, lifecycle testing) Own validation metrics and ensure products meet performance and durability targets Drive continuous reliability improvements through structured failure analysis Fleet Quality & Field Operations Establish systems for field triage, failure tracking, and escalation management across deployed robotic fleets Analyze field performance data to identify systemic issues and prioritize fixes Partner with operations and service teams to improve uptime, serviceability, and MTBF Develop feedback loops from field → engineering → manufacturing Software & Systems Quality Ensure alignment between hardware and software quality standards Define test strategies for embedded systems, firmware, and cloud-connected platforms Drive automated testing frameworks

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