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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. 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.
What they're looking for
- MS or Ph.D. in Materials Science, Mechanical Engineering, Electrical Engineering, Applied Physics, or related field
- 5+ years in 2.5D/3D advanced packaging reliability
- Deep command of physics-of-failure methodology and strong materials-science knowledge, particularly interconnects and interfaces
- Proficiency 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 EBSD
- Proven track record driving OSAT/partner improvements and managing qualifications
More about this role
Own 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?
- 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...
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