Quality Engineering Lead, Autonomous Robotics

Bedrock Robotics; San Francisco (CA); On-site; USD 190,000 - 230,000; Full time

Job summary

Bedrock Robotics in San Francisco is seeking a Product Quality Engineer to establish end-to-end quality strategy across hardware development and robotic fleet operations, ensuring reliability, scalability, and performance from prototype through high-volume production and real-world deployments.

You will own quality systems, metrics, and continuous improvement initiatives across design, manufacturing, and field service, employing automation, diagnostics, and AI-driven workflows to drive faster,

Qualifications

• 8–10+ years in quality program management or similar role
• Experience managing cross-functional projects in fast-paced, tech-driven environments
• Knowledge of robotics, automation, or hardware quality concepts is a plus

Responsibilities

• Lead Design for Quality (DFM/DFA) initiatives
• Collaborate with hardware, electrical, and software teams during EVT/DVT/PVT phases
• Define and enforce quality gates, FMEA, and validation plans
• Drive design improvements from failure data and reliability testing
• Establish IQC/IPQC/OQC frameworks and supplier quality strategy
• Implement process controls, yield tracking, and defect reduction
• Lead CAPA for production issues
• Define reliability requirements and test strategies
• Oversee field triage, failure tracking, and escalation across fleets
• Develop feedback loops field → engineering → manufacturing
• Align test strategies for embedded systems, firmware, and cloud platforms
• Drive automated testing frameworks and AI-enabled diagnostics

Skills

Quality engineering

Cross-functional leadership

Problem-solving mindset

Communication skills

Risk management

Adaptability

Travel availability

Education

Bachelor’s degree in Engineering

Job description

Bedrock Robotics in San Francisco is seeking a Product Quality Engineer to establish end-to-end quality strategy across hardware development and robotic fleet operations, ensuring reliability, scalability, and performance from prototype through high-volume production and real-world deployments.

You will own quality systems, metrics, and continuous improvement initiatives across design, manufacturing, and field service, employing automation, diagnostics, and AI-driven workflows to drive faster,