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Posted a day ago
Hardware Reliability Engineer
DensityAI
Requirements
MS or Ph.D. in Engineering or Physics, 5+ years in 2.5D/3D packaging reliability, Statistical reliability analysis proficiency, Hands-on failure analysis experience
Skills
Python
About the role
Responsibilities
- Conduct physics-of-failure modeling for advanced accelerator packaging and assess thermal, mechanical, and electrical stressors
- Lead failure-mode analysis using C-SAM, X-ray CT, SEM, TEM, FIB, and EBSD
- Build and apply models like Coffin-Manson and Arrhenius to predict field lifetime and FIT
- Partner with OSATs to define requirements and ensure JEDEC/IPC/IEEE/MIL-STD compliance
- Assess stress interactions across package, board, and system levels
- Translate package reliability into fleet availability targets including AFR, FIT, and MTBF
- Use AI-assisted/ML tool flows to accelerate failure analysis and lifetime modeling
Requirements
- MS or Ph.D. in Materials Science, Mechanical Engineering, Electrical Engineering, or Applied Physics
- 5+ years in 2.5D/3D advanced packaging reliability
- Deep command of physics-of-failure methodology and materials science
- Proficiency in statistical reliability analysis using JMP, Minitab, or Python
- Hands-on experience with C-SAM, X-ray CT, SEM, TEM, FIB, and EBSD
- Familiarity with JEDEC, IPC, IEEE, and MIL-STD standards
- Experience with heterogeneous integration, chiplet architectures, or HBM
- Knowledge of electrical reliability mechanisms like electromigration and TDDB
About the Company
DensityAI develops advanced AI accelerator silicon and high-performance packaging systems designed for long-term reliability in large-scale data center environments.
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Get started — it's freeHardware Reliability Engineer
DensityAI · Mountain View
