Staff Reliability Engineer, Hardware

At Bedrock were moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo scaled Segment to a $3.2B acquisition and grew Uber Freight to $5B in revenue. Today were deploying autonomous systems on heavy construction equipment across the country improving safety on job sites and accelerating schedules on critical infrastructure projects.

Were not here debating the future of AI. Were deploying it in the real just two years weve raised $350M and achieved the first fully autonomous excavator deployments in construction.

This is where algorithms meet steel-toed boots. Youll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations cant touch. If youre ready to do meaningful work on hard problems wed love to have you join us.

The Role

As a Staff Reliability Engineer you will own hardware reliability for our next-generation autonomous construction machines. You will define and drive the reliability engineering programs across compute sensors cleaning power actuation and supporting subsystems establishing reliability requirements and budgets leading Design FMEAs (DFMEA) and Fault Tree Analysis (FTA) building reliability models and test programs and closing the loop from field failures back into design. Working closely with mechanical electrical software manufacturing quality supply chain and field teams you will translate reliability goals into design test and process decisions that keep machines running in demanding real-world environments from vibration and shock to dust debris thermal extremes and weather exposure.

What Youll Do:

• Reliability Program Ownership: Define and own the hardware reliability strategy requirements and budgets (reliability/availability targets MTBF/MTBUR goals duty cycles mission profiles) for autonomy upfit hardware across the vehicle platform.

• DFMEA Leadership: Plan and facilitate Design FMEAs across mechanical electrical and electromechanical subsystems identifying failure modes effects and causes; scoring severity/occurrence/detection; prioritizing with RPN/Action Priority; and driving design and test actions to closure.

• Fault Tree Analysis (FTA): Build and maintain fault trees for safety-critical and availability-critical functions; perform qualitative and quantitative FTA identify minimal cut sets and single points of failure and link top-level undesired events to design redundancy and verification requirements.

• Reliability Modeling & Prediction: Develop reliability block diagrams reliability allocations and predictions; perform Weibull and life-data analysis reliability growth tracking and worst-case/derating analysis to forecast field performance and inform design tradeoffs.

• Reliability Testing: Define and execute HALT/HASS accelerated life testing (ALT) and environmental/durability test programs (vibration shock thermal cycling dust/water ingress corrosion); set test-to-failure margins and design ongoing stress screens.

• Field Failure Analysis: Stand up and run a Failure Reporting Analysis and Corrective Action System; lead root-cause investigations (8D 5-Whys fishbone fault isolation) and drive corrective/preventive actions from field and test data into design and process.

• Design for Reliability (DfR): Embed reliability into design and milestone reviews derating redundancy tolerance stack-up thermal and vibration margin connector/harness reliability ingress protection and gate designs at NPI stages.

• Supplier & Component Reliability: Partner with supply chain and vendors to qualify components and suppliers define reliability acceptance criteria review supplier reliability data and manage derating qualification and obsolescence risk.

• Reliability Data & Tooling: Build reliability data pipelines and dashboards from warranty/field returns machine telemetry and test data; apply statistical methods to quantify reliability and surface emerging failure trends early.

• Cross-Functional Collaboration: Partner with electrical mechanical software manufacturing and field teams during bring-up validation and deployment to turn reliability findings into actionable design process and test changes.

• Documentation & Standards: Maintain reliability deliverables (DFMEA and FTA records reliability plans prediction models test reports FRACAS records) and develop best-practice reliability processes that support predictability transparency and quality.

Key Qualifications:

• Education: Bachelors degree in Mechanical or Electrical Engineering Reliability Engineering Physics Mechatronics or a related field or equivalent experience.

• Experience: 10 years in hardware reliability engineering for vehicles heavy machinery robotics automotive aerospace or industrial equipment.

• Reliability Methods: Deep hands-on expertise leading DFMEA and FTA plus reliability prediction/modeling accelerated and life testing (HALT/HASS ALT) and structured root-cause analysis / FRACAS.

• Tools: Strong working knowledge of reliability and statistical tools (e.g. ReliaSoft Weibull/BlockSim Windchill Quality/Relex Minitab Python or R); familiarity with PDM/PLM systems a plus.

Our roles are often flexible. If you dont fit all the criteria or are in another location (especially one where we have an office like SF or NY) please apply anyway! Wed love to consider you.

Were committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race color religion sex sexual orientation gender identity national origin ancestry age disability veteran status genetic information or any other protected characteristic.

Were committed to providing reasonable accommodations throughout our hiring process. If you need an accommodation to participate in the application or interview process please contact our People Team at .

Required Experience:

Staff IC