Senior Hardware Reliability Engineer

Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

• •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.
• •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 (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).
• •Apply statistical reliability tools (Weibull analysis, ALT/CALT models) and multi-physics degradation models (e.g., Coffin-Manson, Arrhenius, bearing/gear fatigue modeling) to predict drive system lifetime under dynamic field loads.

• •Lead cross-functional Root Cause Analysis (RCA) for complex mechatronic failures across mechanical wear (gears, bearings), electrical degradation (FET switching, PCBA thermal fatigue), and signal/sensor degradation (encoder slip, harness flex failure).
• •Translate field telemetry, torque/temperature logs, and test bench failure data into actionable design revisions for next-generation humanoid architectures.

About You

• •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.
• •Proficiency with data-analysis and scripting environments used for engineering analysis is preferred.
• •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 both 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