Hardware Reliability Engineer

ITAR Notice: This role involves access to ITAR-controlled information. Applicants must be U.S. persons (U.S. citizens, U.S. permanent residents, asylees, or refugees) per 22 CFR 120.62.About The RoleOwn 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?What You'll DoReliability 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 cyclingFailure 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)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 profilesOSAT 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 qualificationsSystem-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 thermalCross-functional close-out: Develop design guidelines and reliability best practices, and own the reliability data presented to internal teams and customersFleet & 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 inferenceUse and develop AI-assisted / ML tool flows to accelerate failure analysis, lifetime modeling, and failure predictionWhat We're Looking ForMS or Ph.D. in Materials Science, Mechanical Engineering, Electrical Engineering, Applied Physics, or related field5+ years in 2.5D/3D advanced packaging reliabilityDeep command of physics-of-failure methodology and strong materials-science knowledge, particularly interconnects and interfacesProficiency in statistical reliability analysis (Weibull, lognormal, acceleration modeling; JMP, Minitab, or Python)Hands-on failure analysis with C-SAM, X-ray CT, SEM, TEM, FIB, and EBSDProven track record driving OSAT/partner improvements and managing qualificationsFamiliarity with JEDEC, IPC, IEEE, and MIL-STD standardsHeterogeneous integration, fan-out packaging, chiplet architectures, HBM, or silicon-photonics packagingElectrical reliability mechanisms (electromigration, dielectric/TDDB breakdown)Design-for-reliability (DFR), prognostics, and health management for electronic systemsAI-driven reliability modeling or machine learning for failure predictionHigh-power / high-current package reliability for accelerators or GPUs; customer-facing qualification experienceFull compensation packages are based on candidate experience and relevant certifications.California pay range$220,000 - $350,000 USD