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Bedrock Robotics

Builds autonomy kits for construction equipment

Reliability Engineer - Hardware

Mechanical Maintenance and Reliability EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedHybrid

About the Job

Requirements

  • A bachelor's degree in Mechanical Engineering, Electrical Engineering, Reliability Engineering, Physics, Mechatronics, or a related field, or equivalent experience.
  • 10+ years of hardware reliability engineering experience in vehicles, heavy machinery, robotics, automotive, aerospace, or industrial equipment.
  • Hands-on expertise leading Design Failure Mode and Effects Analysis (DFMEA) and Fault Tree Analysis (FTA), plus reliability prediction and modeling, accelerated and life testing (HALT/HASS and ALT), and structured root-cause analysis or Failure Reporting, Analysis, and Corrective Action System (FRACAS).
  • Strong working knowledge of reliability and statistical tools such as ReliaSoft Weibull++/BlockSim, Windchill Quality/Relex, Minitab, Python, or R.

Responsibilities

  • Define and own the hardware reliability strategy, requirements, and budgets, including reliability and availability targets, mean time between failures (MTBF) and mean time between unscheduled removals (MTBUR) goals, duty cycles, and mission profiles for autonomy upfit hardware across the vehicle platform.
  • Plan and facilitate Design Failure Mode and Effects Analyses across mechanical, electrical, and electromechanical subsystems; identify failure modes, effects, and causes; score severity, occurrence, and detection; prioritize with Risk Priority Number (RPN) or Action Priority; and drive design and test actions to closure.
  • Build and maintain fault trees for safety-critical and availability-critical functions; perform qualitative and quantitative Fault Tree Analysis; identify minimal cut sets and single points of failure; and link top-level undesired events to design, redundancy, and verification requirements.
  • 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.
  • Define and execute Highly Accelerated Life Testing (HALT), Highly Accelerated Stress Screening (HASS), accelerated life testing (ALT), and environmental/durability test programs covering vibration, shock, thermal cycling, dust/water ingress, and corrosion; set test-to-failure margins and design ongoing stress screens.
  • Establish and run a Failure Reporting, Analysis, and Corrective Action System; lead root-cause investigations using 8D, 5-Whys, fishbone analysis, and fault isolation; and drive corrective and preventive actions from field and test data into design and process.
  • Embed reliability into design and milestone reviews through derating, redundancy, tolerance stack-up, thermal and vibration margin, connector/harness reliability, and ingress protection; and gate designs at new product introduction stages.
  • 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.
  • Build reliability data pipelines and dashboards from warranty/field returns, machine telemetry, and test data; apply statistical methods to quantify reliability and identify emerging failure trends early.
  • 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.
  • Maintain reliability deliverables, including DFMEA and FTA records, reliability plans, prediction models, test reports, and FRACAS records; and develop best-practice reliability processes that support predictability, transparency, and quality.

Desired Qualifications

  • Familiarity with product data management (PDM) and product lifecycle management (PLM) systems.

About the Company

Bedrock Robotics

Builds autonomy kits for construction equipment

Bedrock Robotics builds hardware and software that turn contractors' existing heavy equipment into autonomous machines for earthmoving on construction sites. Its Bedrock Operator kit combines sensors and onboard computing to perceive the surroundings, plan excavation, and move material alongside crews and other equipment. Site managers set the work plan, while the system carries out tasks and reports progress and performance. The company develops its technology with construction partners and equips their fleets with autonomy upgrades for large infrastructure and industrial projects. Bedrock Robotics was founded in 2024 and is headquartered in San Francisco, California.

Company size
51-200
Company stage
Series C
Total funding
$950M
Headquarters
San Francisco, CA
Founded
2024

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