{"id":1238105,"url":"https://alion.io/job/densityai-hardware-reliability-engineer","title":"Hardware Reliability Engineer","company":{"id":1991793,"name":"DensityAI","domain":"densityai.com","url":"https://alion.io/company/densityai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Hardware","role_family":"Hardware","seniority":null,"employment_type":null,"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":null,"salary_estimate":{"min_usd":119000,"max_usd":270000,"period":"year","method":"role_country_seniority_unknown","sample_n":1385},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false}],"status":"live","first_seen_at":"2026-06-18T14:27:17Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-26T11:18:33Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":100},"description":"About the role:\nOwn the reliability of the advanced packages and systems that turn our AI accelerator silicon into products that survive years in the field. You'll define how we qualify 2.5D/3D and heterogeneously-integrated packages, model their physics of failure, drive root-cause when things fail, and build the reliability engineering that lets us predict lifetime under real workloads. You'll sit at the seam between silicon/packaging and the systems our accelerators run in, partner closely with our OSATs, and own the answer to \"will this hold up in the field - and for how long?\nWhat you'll do\nReliability analysis & risk assessment: Conduct physics-of-failure modeling for advanced accelerator packaging; assess thermal, mechanical, and electrical stressors; define and execute stress-test protocols including thermal cycling, electromigration, HTOL, HAST/uHAST, and power cycling\n Failure analysis & root cause: Lead failure-mode analysis using C-SAM, X-ray CT, SEM, TEM, FIB, and EBSD; identify cracking, voiding, electromigration, and stress-induced damage; drive corrective/preventive action (8D, FMEA)\n Reliability physics & lifetime prediction: Build and apply models (Coffin-Manson, Arrhenius, Black's equation) and FEA-based stress simulation to predict field lifetime and FIT under real accelerator thermal and power profiles\nOSAT management & collaboration: Partner with assembly and test providers on reliability improvements; define requirements, ensure JEDEC/IPC/IEEE/MIL-STD compliance, monitor OSAT performance, and support supplier audits and qualifications\nSystem-level reliability: Assess thermal, mechanical, and electrical stress interactions across package, board, and the system the accelerator ships in; drive design-for-reliability into the package and board ↔ package interface with packaging, materials, SI/PI, and thermal\nCross-functional close-out: Develop design guidelines and reliability best practices, and own the reliability data presented to internal teams and customers\n Fleet & data-center reliability: Translate package- and system-level reliability into fleet availability targets - AFR, FIT, MTBF/MTTR, and availability \"nines\"; drive detection and mitigation of silent data corruption (SDC) / silent data errors in production; close the loop from field telemetry, returns, and RMA back into design and qual (reliability growth); partner with data-center operations, SRE/hardware-ops, and customers on serviceability and uptime for large-scale training and inference\nUse and develop AI-assisted / ML tool flows to accelerate failure analysis, lifetime modeling, and failure prediction\nWhat we're looking for:\nMS or Ph.D. in Materials Science, Mechanical Engineering, Electrical Engineering, Applied Physics, or related field\n5+ years in 2.5D/3D advanced packaging reliability\nDeep command of physics-of-failure methodology and strong materials-science knowledge, particularly interconnects and interfaces\nProficiency in statistical reliability analysis (Weibull, lognormal, acceleration modeling; JMP, Minitab, or Python)\nHands-on failure analysis with C-SAM, X-ray CT, SEM, TEM, FIB, and EBSD\nProven track record driving OSAT/partner improvements and managing qualifications\nFamiliarity with JEDEC, IPC, IEEE, and MIL-STD standards\nHeterogeneous integration, fan-out packaging, chiplet architectures, HBM, or silicon-photonics packaging\nElectrical reliability mechanisms (electromigration, dielectric/TDDB breakdown)\nDesign-for-reliability (DFR), prognostics, and health management for electronic systems\nAI-driven reliability modeling or machine learning for failure prediction\nHigh-power / high-current package reliability for accelerators or GPUs; customer-facing qualification experience\nCompensation\nFinal offers depend on level, location, and skills relevant to the role. Additional compensation: equity grant per company guidelines; medical / dental / vision; 401(k); standard PTO. \nVisa Sponsorship\nDensityAI sponsors qualified candidates for H-1B, O-1, TN, E-3, and other employment-based visas, and we welcome applicants on F-1 OPT and STEM-OPT. Work authorization is required at start; we provide immigration support to secure or transfer status.\nExport Controls\nAspects of this role may involve access to information subject to U.S. export controls (EAR/ITAR). We may discuss licensing or scope adjustments during the interview.\nEqual Opportunity\nDensityAI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religious creed, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age (40+), sexual orientation, military or veteran status, pregnancy, or any other status protected by law. We comply with the California CROWN Act and provide reasonable accommodations on request.\nFull compensation packages are based on candidate experience and relevant certifications. \nCalifornia pay range\n$132,000—$220,000 USD\nCompensation\nFinal offers depend on level, location, and skills relevant to the role. Additional compensation: equity grant per company guidelines; medical / dental / vision; 401(k); standard PTO. \nVisa Sponsorship\nDensityAI sponsors qualified candidates for H-1B, O-1, TN, E-3, and other employment-based visas, and we welcome applicants on F-1 OPT and STEM-OPT. Work authorization is required at start; we provide immigration support to secure or transfer status.\nExport Controls\nAspects of this role may involve access to information subject to U.S. export controls (EAR/ITAR). We may discuss licensing or scope adjustments during the interview.\nEqual Opportunity\nDensityAI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religious creed, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age (40+), sexual orientation, military or veteran status, pregnancy, or any other status protected by law. We comply with the California CROWN Act and provide reasonable accommodations on request.","description_format":"text","description_chars":6158,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T16:18:56Z"}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.297,"p_room":0.35,"age_days":99,"expected_fill_days":33,"reasons":["conf:13","win:tail"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/densityai-hardware-reliability-engineer","json_url":"https://alion.io/job/densityai-hardware-reliability-engineer.json","meta":{"generated_at":"2026-09-27T04:46:08Z","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":4101,"day_limit":5000,"remaining_today":899,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}