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Agility Robotics

Humanoid robots and automation software platform

Senior Hardware Reliability Engineer

Mechanical Maintenance and Reliability EngineeringConfirmed live in the last 24 hours
Full-timeFremont, CA, USA

About the Job

Requirements

  • A minimum of 5 to 8+ years of experience in reliability engineering for complex hardware systems.
  • Strong understanding of mechatronic systems integrating mechanical structures, electronics, actuators, sensors, and control hardware.
  • Demonstrated experience with reliability engineering principles, including Design for Reliability, DFMEA/FMEA, accelerated-life testing, reliability demonstration, reliability growth, component derating, and physics-of-failure analysis.
  • Experience developing or executing environmental and durability tests such as vibration, thermal cycling, mechanical fatigue, humidity, HALT, or accelerated endurance testing.
  • 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.
  • Experience using reliability, statistical, simulation, and engineering analysis tools to support reliability assessments and decision-making.
  • Ability to analyze life data, accelerated-test results, failure distributions, and reliability-growth trends.
  • Experience applying physics-based simulation or analytical methods to evaluate mechanical, thermal, vibration, fatigue, or electronics reliability risks.
  • Ability to learn and effectively use new reliability and engineering software tools as needed.
  • Strong analytical and structured problem-solving ability.
  • Ability to connect observed failures and test results to underlying physical failure mechanisms.
  • Ability to independently develop reliability analyses and validation approaches.
  • Strong written and verbal communication skills.
  • Ability to communicate reliability risk, uncertainty, and recommendations to technical and non-technical stakeholders.
  • Effective collaboration across mechanical, electrical, systems, test, manufacturing, quality, and supplier organizations.
  • Ability to operate effectively in a fast-moving product-development environment where designs and requirements continue to mature.
  • Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Materials Science, Reliability Engineering, or a related technical field.
  • Applicants must have current authorization to work in the United States.

Responsibilities

  • Implement Design for Reliability methodologies, including DFMEA, FTA, and component derating, across complex mechatronic loops such as drive trains, harmonic gearboxes, BLDC motors, encoder feedback systems, and dynamic wire harnesses.
  • Establish reliability targets, duty-cycle profiles, and environmental/mechanical stress acceptance criteria for actuators, sensors, power electronics, and end effectors.
  • 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 validation.
  • Develop custom dynamic test rigs to simulate real-world humanoid duty cycles, including continuous walking, heavy payload lifting, impulse landing impacts, and high-frequency oscillatory motion.
  • Apply statistical reliability tools such as Weibull analysis and ALT/CALT models, and multi-physics degradation models such as Coffin-Manson, Arrhenius, and bearing/gear fatigue modeling, to predict drive system lifetime under dynamic field loads.
  • Lead cross-functional root cause analysis for complex mechatronic failures involving mechanical wear, electrical degradation, and signal/sensor degradation.
  • Translate field telemetry, torque/temperature logs, and test bench failure data into actionable design revisions for next-generation humanoid architectures.

Desired Qualifications

  • Strong preference for candidates with experience in robotics, autonomous vehicles, aerospace, or other high-reliability industries.
  • Proficiency with data-analysis and scripting environments used for engineering analysis.
  • A master’s degree or PhD.

About the Company

Agility Robotics

Humanoid robots and automation software platform

Agility Robotics designs and sells humanoid robots and an accompanying software platform to automate labor-intensive tasks. Its flagship robot Digit works with the cloud-based Agility Arc platform to perform tasks in warehouses, manufacturing, retail, eCommerce, and distribution centers. The system combines Digit’s mobility and manipulation capabilities with software that coordinates tasks, scheduling, and data, enabling effective human–robot collaboration on labor tasks. What sets Agility Robotics apart is its humanoid form and emphasis on mobile manipulation, paired with a cloud automation platform and plans for an App Store for Labor to offer a range of labor-related applications. The company’s goal is to help humans be more productive by augmenting workers’ capabilities and allowing them to focus on more complex and creative tasks, while delivering reliable labor solutions through direct sales, service contracts, and a potential software ecosystem.

Company size
201-500
Company stage
IPO
Headquarters
Salem, OR
Founded
2015

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