Agility Robotics
Senior Hardware Reliability Engineer
Hybrid- Fremont, CA · Senior · Full-time
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About the role
- Agility Robotics is at the forefront of humanoid robotics, redefining how robots interact with and navigate the human world.
- We are seeking a Senior Hardware Reliability Engineer with 5-8+ years of hands-on experience in mechatronics and electromechanical systems to join our team in the San Francisco Bay Area.
- Mechatronic Reliability Planning & DfR Integration
Responsibilities
- Implement Design for Reliability (DfR) methodologies (DFMEA, FTA, component derating) across complex mechatronic loops, including drive trains, harmonic gearboxes, BLDC motors, encoder feedback systems, and dynamic wire harnesses.
- Collaborate with control systems and mechatronics design teams to evaluate the reliability impact of control algorithms, dynamic braking, overload torque conditions, and thermal throttling regimes.
- Design, build, and execute multi-axis accelerated stress testing setups, including HALT, HASS, dynamic load cycling, thermal shock, vibration, and ingress protection (IP) validation.
- Develop custom dynamic test rigs to simulate real-world humanoid duty cycles (e.g., continuous walking, heavy payload lifting, impulse landing impacts, high-frequency oscillatory motion).
- Translate field telemetry, torque/temperature logs, and test bench failure data into actionable design revisions for next-generation humanoid architectures.
- Well-Being Support: Employee Assistance Program (EAP).
Requirements
- Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Materials Science, Reliability Engineering, or a related technical field.
Nice to have
- Minimum of 5 to 8+ years of experience in reliability engineering for complex hardware systems
- Strong preference for candidates with experience in robotics, autonomous vehicles, aerospace, or other high-reliability industries
- Strong understanding of mechatronic systems integrating mechanical structures, electronics, actuators, sensors, and control hardware.
- Familiarity with statistical reliability methods including Weibull analysis, success-run testing, confidence bounds, and accelerated-life modeling.
- Working knowledge of fatigue and life-prediction methods such as Coffin-Manson, stress-life, strain-life, Miner's rule, or equivalent approaches.
- Understanding of common mechanical, electrical, and electromechanical failure mechanisms.
- Ability to interpret mechanical drawings, electrical schematics, test data, material specifications, and supplier qualification reports.
- Ability to analyze life data, accelerated-test results, failure distributions, and reliability-growth trends.
Skills
- Strong analytical and structured problem-solving ability.
- Ability to connect observed failures and test results to underlying physical failure mechanisms.
- Strong written and verbal communication skills.
- Ability to communicate reliability risk, uncertainty, and recommendations to both technical and non-technical stakeholders.
- Effective collaboration across mechanical, electrical, systems, test, manufacturing, quality, and supplier organizations.
- Education
- Master's degree or PhD is a plus.
- Location
- This is a hybrid position based out of Fremont, CA office.
- Anticipated Base Salary Range
Compensation
- Anticipated Base Salary Range
Benefits
- Parental Leave: Generous paid parental leave programs.
- Equity: Company stock options.
- Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
- Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
Company info
- 401(k) Plan: Includes a 6% company match.
This listing is sourced directly from Agility Robotics's careers page and normalized into a canonical job model.