Bedrock Robotics
Operations Manufacturing Test Lead
2w ago
USALeadRemotetest automationhardware testingmanufacturing processes
Design, build, and scale robust test systems ensuring product quality across hardware development, manufacturing, and fleet deployment.
Responsibilities
- You are the gatekeeper between manufacturing and the field
- You constantly balance coverage vs. speed vs. cost
- You touch everything: hardware, software, fixtures, data systems, and operations
- Your work directly impacts yield, reliability, and customer experience
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)\
Nice to have
- 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
- 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.
Other
- 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.
- Role Overview: 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.
- 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
- High test coverage with minimal field escapes
- Efficient, scalable test systems that support rapid production ramp
- Fast and accurate failure detection and diagnosis
- Improved yield and reduced rework through better test and diagnostics
- Strong alignment between design validation and manufacturing test
- Hands-on, detail-oriented, and highly analytical
- 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
- If you thrive in dynamic environments, love solving complex challenges, and want to make an impact with cutting-edge technology, we’d love to hear from you!
- You start by checking what happened overnight or on the previous shift:
- First Pass Yield (FPY) by station
- Top failure modes and pareto trends
- Test station uptime and bottlenecks
- Any line stops or escalations
- If a failure spikes—say a communication test or sensor calibration—you flag it immediately.
- Then you join a quick stand-up with manufacturing, quality, and engineering:
- What’s breaking on the line right now?