{"id":1664885,"url":"https://alion.io/job/agility-robotics-senior-reliability-engineer","title":"Senior Reliability Engineer","company":{"id":6884,"name":"Agility Robotics","domain":"agilityrobotics.com","url":"https://alion.io/company/agility-robotics","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":11,"ghost_share":0,"stale_share":0.545,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Fremont, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":221000,"currency":"USD","period":"year","gross":null,"usd_annual":221000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[],"status":"live","first_seen_at":"2026-10-01T19:44:12Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-04T22:32:01Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"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.\nAbout the Role\nAgility Robotics is at the forefront of humanoid robotics, redefining how robots interact with and navigate the human world. Our cutting-edge robots rely on advanced mechatronic systems-integrating precision actuators, high-performance motor controllers, multi-axis force/torque sensors, high-density PCBAs, cable harnesses, structural limbs, and dynamic end effectors-to execute complex tasks in demanding environments.\nWe are seeking a Senior 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. In this hybrid role, you will be the core technical owner for the reliability of integrated humanoid drive systems and robotic actuation sub-assemblies. You will partner directly with mechatronics design, controls, embedded software, and manufacturing teams to drive reliability validation, lead multi-physics failure analyses, and build robust lifetime models for highly dynamic robotic hardware.\nAbout the Work\nMechatronic Reliability Planning & DfR Integration\nImplement 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.\nEstablish reliability targets, duty-cycle profiles, and environmental/mechanical stress acceptance criteria for actuators, sensors, power electronics, and end effectors.\nCollaborate with control systems and mechatronics design teams to evaluate the reliability impact of control algorithms, dynamic braking, overload torque conditions, and thermal throttling regimes.\nAdvanced Mechatronic Testing & Lifetime Validation\nDesign, build, and execute multi-axis accelerated stress testing setups, including HALT, HASS, dynamic load cycling, thermal shock, vibration, and ingress protection (IP) validation.\nDevelop 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).\nApply 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.\nFailure Analysis & Closed-Loop Improvement\nLead 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).\nTranslate field telemetry, torque/temperature logs, and test bench failure data into actionable design revisions for next-generation humanoid architectures.\nAbout You\nExperience\nMinimum of 5 to 8+ years of experience in reliability engineering for complex hardware systems\nStrong preference for candidates with experience in robotics, autonomous vehicles, aerospace, or other high-reliability industries\nTechnical Expertise\nStrong understanding of mechatronic systems integrating mechanical structures, electronics, actuators, sensors, and control hardware.\nDemonstrated 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.\nExperience developing or executing environmental and durability tests such as vibration, thermal cycling, mechanical fatigue, humidity, HALT, or accelerated endurance testing.\nFamiliarity with statistical reliability methods including Weibull analysis, success-run testing, confidence bounds, and accelerated-life modeling.\nWorking knowledge of fatigue and life-prediction methods such as Coffin-Manson, stress-life, strain-life, Miner’s rule, or equivalent approaches.\nUnderstanding of common mechanical, electrical, and electromechanical failure mechanisms.\nAbility to interpret mechanical drawings, electrical schematics, test data, material specifications, and supplier qualification reports.\nTools & Analysis Methods\nExperience using reliability, statistical, simulation, and engineering analysis tools to support reliability assessments and decision-making.\nAbility to analyze life data, accelerated-test results, failure distributions, and reliability-growth trends.\nExperience applying physics-based simulation or analytical methods to evaluate mechanical, thermal, vibration, fatigue, or electronics reliability risks.\nProficiency with data-analysis and scripting environments used for engineering analysis is preferred.\nAbility to learn and effectively use new reliability and engineering software tools as needed.\nSkills\nStrong analytical and structured problem-solving ability.\nAbility to connect observed failures and test results to underlying physical failure mechanisms.\nAbility to independently develop reliability analyses and validation approaches.\nStrong written and verbal communication skills.\nAbility to communicate reliability risk, uncertainty, and recommendations to both technical and non-technical stakeholders.\nEffective collaboration across mechanical, electrical, systems, test, manufacturing, quality, and supplier organizations.\nAbility to operate effectively in a fast-moving product-development environment where designs and requirements continue to mature.\nEducation\nBachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Materials Science, Reliability Engineering, or a related technical field.\nMaster’s degree or PhD is a plus.\nLocation\nThis is a hybrid position based out of Fremont, CA office.\nThe final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.\nAnticipated Base Salary Range\n$170,000—$221,000 USD\nIn addition to base pay, our competitive total rewards package consists of the following for full-time employees:\n 401(k) Plan: Includes a 6% company match.\nEquity: Company stock options.\nInsurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.\nBenefit Start Date: Eligible for benefits on your first day of employment.\n Well-Being Support: Employee Assistance Program (EAP).\nTime Off:Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.\nNon-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.\n\nOn-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.\nParental Leave: Generous paid parental leave programs.\nWork Environment: A culture that supports flexible work arrangements.\nGrowth Opportunities: Professional development and tuition reimbursement programs.\nRelocation Assistance: Provided for eligible roles.\nAnnual Discretionary Bonus: Provided for eligible roles.\nAll of our roles are U.S.-based. Applicants must have current authorization to work in the United States.\nAgility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.\nAgility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.","description_format":"text","description_chars":8740,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Growth opportunities","Insurance coverage","Parental leave","Professional development","Relocation assistance","Stock options","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Logistics & Warehouse Robotics","Humanoid Robots"],"lifecycle":[{"event":"open","at":"2026-10-02T05:35:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 46","filings_12m":46,"filings_prev_12m":15,"green_card_filings_12m":0,"median_offered_wage_usd":187500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":52,"reasons":["conf:0","stale_co","velocity","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":{"stated_usd_annual":221000,"is_top_pay":true},"html_url":"https://alion.io/job/agility-robotics-senior-reliability-engineer","json_url":"https://alion.io/job/agility-robotics-senior-reliability-engineer.json","meta":{"generated_at":"2026-10-05T00:08:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":32,"day_limit":5000,"remaining_today":4968,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}