23 часа назад
Staff Reliability Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Reliability Engineer (Robotics): Owning hardware reliability programs for autonomous construction machines with an accent on reliability requirements, DFMEA/FTA, reliability modeling, and environmental testing. Focus on analyzing field failures, building FRACAS and reliability data systems, and driving design and process improvements across compute, sensors, power, actuation, and supporting subsystems.
Location: San Francisco, CA; hybrid. Flexible consideration may be available for candidates in other locations, especially where an office is present, such as SF or NY.
Company
develops and deploys autonomous systems on heavy construction equipment to improve job-site safety and accelerate critical infrastructure projects.
What you will do
- Own hardware reliability strategy, requirements, budgets, availability targets, mission profiles, and duty cycles for autonomous vehicle upfit hardware.
- Lead DFMEA and FTA activities across mechanical, electrical, and electromechanical subsystems, including failure-mode analysis, fault-tree modeling, and corrective actions.
- Develop reliability block diagrams, predictions, Weibull and life-data analyses, reliability growth tracking, and derating assessments.
- Define and execute HALT/HASS, accelerated life, vibration, shock, thermal, ingress, corrosion, and durability testing.
- Lead field-failure investigations and FRACAS activities using 8D, 5-Whys, fishbone analysis, and fault isolation.
- Partner with design, software, manufacturing, quality, supply chain, suppliers, and field teams to improve reliability through NPI and deployment.
Requirements
- 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 with DFMEA, FTA, reliability prediction and modeling, accelerated and life testing, structured root-cause analysis, and FRACAS.
- Strong knowledge of reliability and statistical tools such as ReliaSoft Weibull++/BlockSim, Windchill Quality/Relex, Minitab, Python, or R.
- Ability to work cross-functionally on reliability requirements, validation, field failures, supplier qualification, and design decisions.
Nice to have
- Familiarity with PDM/PLM systems.
Culture & Benefits
- Work on autonomous construction machines operating in demanding physical environments.
- Collaborate with construction specialists and engineers from companies including Waymo, Segment, and Uber Freight.
- Flexible role criteria and consideration for candidates who do not meet every listed qualification.
- Inclusive workplace with equal-opportunity employment and reasonable accommodations throughout the hiring process.
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