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 (HIL/SIL), regression testing, and release quality metrics