About The Role

: Own the reliability of the advanced packages and systems that turn our AI accelerator silicon into products that survive years in the field. 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 Do

Reliability 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 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) 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 OSAT 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

System-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 Cross-functional close-out: Develop design guidelines and reliability best practices, and own the reliability data presented to internal teams and customers 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 Use and develop AI-assisted / ML tool flows to accelerate failure analysis, lifetime modeling, and failure prediction

Familiarity with JEDEC, IPC, IEEE, and MIL-STD standards Heterogeneous integration, fan-out packaging, chiplet architectures, HBM, or silicon-photonics packaging Electrical reliability mechanisms (electromigration, dielectric/TDDB breakdown) Design-for-reliability (DFR), prognostics, and health management for electronic systems AI-driven reliability modeling or machine learning for failure prediction High-power / high-current package reliability for accelerators or GPUs; customer-facing qualification experience

What We'Re Looking For

Compensation

Final offers depend on level, location, and skills relevant to the role.

: equity grant per company guidelines; medical / dental / vision; 401(k); standard PTO.

Hardware Reliability Engineer