{"id":2465652,"url":"https://alion.io/job/skyways-staff-reliability-engineer","title":"Lead Reliability Engineer","company":{"id":686798,"name":"Skyways","domain":"skyways.com","url":"https://alion.io/company/skyways","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":16,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":184,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":220000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1961},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FMEA","optional":false},{"name":"Python","optional":false},{"name":"ArduPilot","optional":true},{"name":"DroneCAN","optional":true},{"name":"MAVLink","optional":true}],"status":"live","first_seen_at":"2026-10-13T16:58:15Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-29T17:10:05Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":15},"description":"The Opportunity\nSkyways is hiring a Lead Reliability Engineer to own the reliability of our V2 and V3 fleets. As we scale production, every aircraft we build has to fly more often, fail less, and come back to service faster. This person makes that happen.\nYou will own reliability at Skyways through our Root Cause Corrective Action (RCCA) process. You will set the standard for how we investigate and close issues, and personally drive the hardest ones to a permanent fix. Most of your time, especially in your first six months, goes to hands on technical work: digging through flight data, troubleshooting aircraft, and building solutions across software, electrical, mechanical, and controls.\nYou will work with everyone who touches the aircraft: engineers, technicians, flight crews, and leadership. When you find the answer, they will understand it and act on it.\nWhat You'll Do:\nLead RCCA: Own every fleet reliability issue from intake through root cause, corrective action, validation, and permanent closure.\n\nFollow the Scientific Method: Form hypotheses, design tests to prove or disprove them, and let evidence decide the root cause.\n\nSolve the Hardest Problems Yourself: Troubleshoot failures across avionics, propulsion, power, EMI, software, and flight controls, and build the fix when that is the fastest path.\n\nFind Problems Before They Fly: Analyze flight logs, telemetry, manufacturing, and maintenance data to spot systemic failure modes and trends early.\n\nTrack Fleet Health: Own reliability metrics and reliability growth across V2 and V3, and make the numbers visible to the whole company.\n\nClose the Loop: Feed what you learn into design, manufacturing, maintenance, and flight operations so each new aircraft is more reliable than the last.\n\nWhat You'll Bring:\nBachelor’s degree in Aerospace, Mechanical, Electrical, or Systems Engineering, or a related technical discipline.\n\n10+ years of engineering experience, including 5+ years of hands on reliability engineering on UAV or aviation programs. 15+ years is preferred.\n\nA clear record of measurably improving reliability on aircraft you worked on.\n\nA strongly analytical mindset and a disciplined, evidence driven approach to root cause.\n\nExperience leading RCCA or similar root cause and corrective action work on aircraft.\n\nHands on troubleshooting range across software, electrical, mechanical, and controls.\n\nDeep command of methods like FMEA, fault tree analysis, 8D, and Weibull analysis.\n\nProficiency with Python or similar tools for data analysis.\n\nClear, direct communication with the whole organization: engineering, technicians, flight crews, and leadership.\n\nBonus Points:\nExperience with EMI and EMC investigation and mitigation.\n\nExperience with ArduPilot, PX4, MAVLink, DroneCAN, or comparable flight control ecosystems.\n\nExperience with hybrid electric propulsion, engines, batteries, or power systems.","description_format":"text","description_chars":2894,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Drones & UAVs","Logistics"],"lifecycle":[{"event":"open","at":"2026-10-13T18:34:22Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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