Operations - Quality Engineering Lead

Operations - Quality Engineering Lead LocationSan Francisco, CAEmployment TypeFull timeLocation TypeHybridDepartmentOperationsJoin the team bringing advanced autonomy to the built worldAt Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry 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 machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—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 QualityLead 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 validationDefine and enforce quality gates, risk assessments (FMEA), and validation plansDrive design improvements based on failure data, field insights, and reliability testingRisk 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 QualityEstablish and manage Incoming Quality Control (IQC), In-Process Quality Control (IPQC), and Outgoing Quality Control (OQC) frameworksDevelop supplier quality strategy, including qualification, audits, and performance managementImplement process controls, yield tracking, and defect reduction initiatives across contract manufacturersLead root cause analysis and corrective/preventative actions (CAPA) for production issuesReliability & ValidationDefine reliability requirements and test strategies (HALT/HASS, environmental, lifecycle testing)Own validation metrics and ensure products meet performance and durability targetsDrive continuous reliability improvements through structured failure analysisFleet Quality & Field OperationsEstablish systems for field triage, failure tracking, and escalation management across deployed robotic fleetsAnalyze field performance data to identify systemic issues and prioritize fixesPartner with operations and service teams to improve uptime, serviceability, and MTBFDevelop feedback loops from field → engineering → manufacturingSoftware & Systems QualityEnsure alignment between hardware and software quality standardsDefine test strategies for embedded systems, firmware, and cloud-connected platformsDrive automated testing frameworks (HIL/SIL), regression testing, and release quality metricsData, Metrics & Continuous ImprovementDefine and track KPIs across the lifecycle: yield, defect rates, DPPM, MTBF, MTTR, fleet...