{"id":667093,"url":"https://alion.io/job/rhoda-senior-hardware-reliability-engineer","title":"Senior Hardware Reliability Engineer","company":{"id":685148,"name":"Rhoda AI","domain":"rhoda.ai","url":"https://alion.io/company/rhoda","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":42,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":87,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Hardware","role_family":"Hardware","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":175000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FMEA","optional":false},{"name":"World Models","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-24T19:23:16Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-30T04:14:15Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":65},"description":"At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.\nAs the Senior Hardware Reliability Engineer, you own reliability as an engineering discipline, not just a test outcome. Every mission profile we define, every acceleration factor we trust, every design change that prevents a failure mode from reaching hardware starts with the reliability analysis you run.\nReliability starts upstream of the test bench. In this role, you decompose platform and subsystem requirements into mission profiles - the duty cycles, load spectra, and environmental exposures Robot will actually see over its life in industrial workspaces - and use them to define how test campaigns should be accelerated, not just to interpret data once it exists. Those mission profiles set the acceleration factors, sample sizes, and pass/fail criteria for the HALT/HASS, thermal cycling, vibration, and fatigue campaigns run in partnership with the test engineers.\nWe operate as T-shaped engineers. You must be a strong generalist across electromechanical systems - actuators, motors, power electronics, structures - but your superpower for this role is translating ambiguous, early-stage requirements into mission profiles and accelerated test plans the rest of the org can design and test against.\nWhat You'll Do\nMission Profile Decomposition: Decompose platform and subsystem requirements into mission profiles - duty cycles, load spectra, environmental exposure - that define what “real-world use” means for each hardware discipline.\n\nAccelerated Test Planning: Translate mission profiles into accelerated test plans: acceleration factors, sample sizes, and pass/fail criteria for HALT/HASS, thermal cycling, vibration, and fatigue campaigns, rather than only interpreting results after tests are run.\n\nFailure Mode Analysis: Build and maintain FMEA/FMECA analyses for critical subsystems, and drive design changes that eliminate failure modes before they reach hardware.\n\nQuantitative Reliability Modeling: Apply quantitative reliability methods (Weibull analysis, MTBF/MTTF, censored-data survival analysis, physics-of-failure acceleration models) to test and field data to predict and track reliability over time.\n\nCross-Discipline Partnership: Partner with actuator, electrical, and structures test and design engineers to turn mission profiles into test-stand requirements, and to close the loop from test failure to root cause to design fix.\n\nReliability Data Infrastructure: Build the reliability program's data infrastructure and reporting so the organization can track reliability trends and revisit mission-profile assumptions as the platform scales from prototype to production.\n\nWhat You'll Bring\nEducation: Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Reliability Engineering, or a related field.\n\nExperience: 5+ years in reliability engineering, with demonstrated ownership of mission profile development and accelerated test design.\n\nMission Profile Development: Experience developing mission profiles or usage/environmental duty-cycle models from product requirements, and using them to define accelerated test plans.\n\nAcceleration Models: Working knowledge of acceleration models (Arrhenius, Coffin-Manson, inverse power law, or similar) used to translate mission profiles into lab test parameters.\n\nQuantitative Methods: Hands-on experience with FMEA/FMECA, Weibull analysis, and MTBF/MTTF modeling.\n\nElectromechanical Systems: Experience working with motors, actuators, power electronics, or similar systems in a product going through active development.\n\nCommunication: Experience communicating reliability risk and recommendations to cross-functional engineering and program stakeholders.\n\nBonus Points (The “Plus” List)\nRequirements Partnership: Experience partnering with systems or requirements engineering to define mission profiles for a new or evolving product line, rather than only applying an inherited one.\n\nIndustry Background: Experience in automotive, EV, robotics, semiconductor, or consumer electronics reliability engineering.\n\nFounding Program Experience: Experience standing up a reliability program or reliability requirements from scratch on an early-stage or prototype-phase product.\n\nElectronics Reliability: Familiarity with low-voltage electronics, sensor, and power-electronics reliability, in addition to mechanical/structural fatigue and durability.\n\nField Data: Experience with field-reliability or warranty data analysis in addition to lab-based accelerated testing.\n\nTooling: Experience scripting or building tooling (Python or similar) for reliability data analysis and 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