Advanced Packaging Multi-Physics Modeling Engineer
OpenAI - San Francisco, California, United States
Posted May 6, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- Not verified
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Advanced Packaging Multi-Physics Modeling Engineer San Francisco, California, United States About the Team: OpenAI's Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI's supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. Role Overview: We are seeking a highly motivated engineer to lead multi-physics modeling and simulation for next-generation advanced packaging systems. This role focuses on the co-optimization of thermal, mechanical, and electrical interactions across chip, package, and system levels to enable high-performance AI/HPC advanced packaging solutions. The candidate will collaborate closely with cross-functional engineering teams and external partners to predict and optimize package mechanical, electrical and thermal performance, and system scalability for advanced heterogeneous integration platforms. In this role you will: - Lead multi-physics modeling and simulation across thermal, mechanical, and electrical domains for next-generation AI/HPC advanced packaging systems. - Drive co-optimization of chip, package, and system interactions to improve power integrity, thermal performance, mechanical reliability, and overall package scalability. - Develop and validate electro-thermal-mechanical simulation methodologies for heterogeneous integration platforms including 2.5D/3D packaging, HBM integration, and chiplet architectures. - Perform reliability assessment and root-cause analysis for package warpage, stress, underfill interaction, solder fatigue, electromigration, and thermo-mechanical failures. - Correlate simulation results with silicon,
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