Operations Manufacturing Test Lead

Bedrock Robotics•San Francisco, CA

10d•Hybrid

About The Position

We are looking for a Manufacturing Test Engineer to design, build, and scale robust test systems that ensure product quality from early hardware development through high-volume manufacturing and fleet deployment. This role sits at the intersection of hardware engineering, manufacturing, and quality—owning test strategy, infrastructure, and execution to catch design, process, workmanship, and component-level issues before products reach the field. You will develop automated, data-driven test frameworks and diagnostic systems that enable fast bring-up, high coverage, and scalable production operations.

Requirements

Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Mechatronics, or related field
5+ years of experience in manufacturing test, hardware validation, or production engineering
Experience supporting NPI builds (EVT/DVT/PVT) and scaling production ramp
Strong experience with automated test development and scripting (Python preferred)
Hands-on experience with test equipment (oscilloscopes, DAQs, power supplies, sensors, etc.)
Familiarity with MES systems, work order configuration, and manufacturing workflows
Experience with hardware-software integration and embedded systems testing
Knowledge of diagnostics, failure analysis, and reliability testing methodologies
Experience with data analysis tools (Python, SQL, or similar)
Problem-Solving Mindset: Ability to manage and resolve complex challenges with little to no established playbooks, using creative and proven strategic thinking to drive solutions.
Risk Management: Proven track record of identifying, managing, and mitigating risks in large, complex programs.
Adaptability: Comfortable with ambiguity and able to thrive in a fast-moving, constantly evolving environment.

Nice To Haves

Robotics, autonomous systems, or complex electromechanical products
High-volume manufacturing and contract manufacturer environments
Vision systems, calibration processes, or system-level testing
HIL/SIL testing frameworks

Responsibilities

Define end-to-end manufacturing test strategy across EVT, DVT, PVT, and production
Develop scalable hardware test frameworks covering functional, system-level, and end-of-line testing
Architect modular test systems that can evolve from prototype builds to high-volume manufacturing
Establish test coverage goals to ensure detection of: Design defects, Component quality issues, Manufacturing process variation, Workmanship defects
Design and implement functional test systems (electrical, mechanical, system-level validation)
Develop automated test scripts and sequences using Python or similar languages
Integrate test equipment (DAQs, sensors, vision systems, robotics interfaces, etc.)
Build diagnostic tools to quickly isolate failures and reduce debug time
Enable data logging, traceability, and test result analytics
Configure and manage work orders and test flows within MES or manufacturing systems
Define test steps, pass/fail criteria, and routing logic across stations
Ensure traceability of test results to serial numbers, components, and build configurations
Partner with manufacturing teams to optimize throughput and minimize test time
Lead test bring-up for new products during EVT/DVT/PVT builds
Support factory ramp by deploying and validating test stations on production lines
Debug early build issues and rapidly iterate on test coverage and methods
Train operators and technicians on test processes and troubleshooting
Develop structured diagnostic workflows to identify root causes of failures
Partner with hardware, firmware, and quality teams on root cause analysis (RCA)
Differentiate between design issues, supplier defects, and manufacturing errors
Implement containment actions and feed improvements back into test and design
Design and execute ongoing reliability and stress testing (burn-in, environmental, lifecycle)
Monitor failure trends and adjust test strategies to catch emerging issues
Ensure alignment between validation testing and production test coverage
Define and track test coverage metrics and escape rates
Continuously improve test effectiveness to reduce field failures and returns
Optimize test time, cost, and efficiency without compromising quality
Drive improvements in first pass yield (FPY) through better detection and diagnostics
Build systems for automated data collection, analysis, and reporting
Leverage scripting and software tools to streamline test development and execution
Implement scalable solutions that support multi-line, multi-site manufacturing
Utilize advanced tools (including AI Agents/ML where applicable) for: Anomaly detection, Failure classification, Predictive insights on test and field data