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About the Role

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.

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, and 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, and predictive insights on test and field data

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
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)
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
Ability to manage and resolve complex challenges with little to no established playbooks, using creative and proven strategic thinking to drive solutions
Proven track record of identifying, managing, and mitigating risks in large, complex programs
Comfortable with ambiguity and able to thrive in a fast-moving, constantly evolving environment
Hands-on, detail-oriented, and highly analytical operating style
Strong problem solver with a bias toward root cause and data-driven decisions
Comfortable working on the factory floor and in the lab
Thrives in fast-paced environments with evolving products and processes

Skills

Automated test development
Scripting (Python preferred)
Test equipment operation
MES systems
Manufacturing workflows
Hardware-software integration
Embedded systems testing
Diagnostics
Failure analysis
Reliability testing
Data analysis
Robotics
Autonomous systems
Complex electromechanical products
High-volume manufacturing
Contract manufacturer environments
Vision systems
Calibration processes
System-level testing
HIL/SIL testing
Problem-solving
Risk management
Adaptability
Data logging
Traceability
Test result analytics
AI Agents/ML

Location

Work Type

Onsite
Remote

Experience Level

5+ years of experience

Education Level

Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Mechatronics, or related field

About the Company

At 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.