Physics AI - Thermal-Mechanical Reliability

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About this role

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory

Our core technology features the world’s fastest GPU solvers, capable of delivering orders-of-magnitude speedups over traditional tools. By integrating these solvers with our Physics AI Foundation Models, we enable engineers to explore design spaces that were previously computationally inaccessible. At Flexcompute, we don’t just make simulations faster; we make the “impossible” solvable, helping our partners tackle the most critical challenges in 3D-IC design, aerospace, and beyond.

Flexcompute is seeking a visionary technical leader to head our new division focused on 3D-IC Thermal-Mechanical Reliability. In this role, you will be the primary architect of how we apply our world’s fastest GPU solvers and Physics AI Foundation Models to the semiconductor industry’s most critical bottleneck: the structural and thermal integrity of advanced packaging.

You will lead the strategy for solving high-stakes issues such as warpage, CTE mismatch, and thermal-induced stress in 3D-ICs and chiplet architectures. You aren’t just using tools; you are defining the future of how AI and high-performance computing (HPC) converge to make 3D chips viable at scale.

  • Education: PhD in Mechanical Engineering, Materials Science, Physics, or a related field with a deep specialization in computational multi-physics.
  • Subject Matter Authority: Recognized expertise in 3D-IC reliability, with a profound understanding of the mechanics of warpage, interfacial delamination, and thermal-mechanical coupling in heterogeneous integration.
  • AI/Simulation Fluent: A strong perspective on the role of GPU acceleration and Machine Learning in scientific computing.
  • Industry Track Record: 10+ years of experience in the semiconductor or microelectronics industry, having led technical projects that directly impacted product reliability or time-to-market.

Responsibilities

  • Strategic Leadership: Own the technical roadmap for the thermal-mechanical domain. Define how our Physics AI accelerates traditional FEA/multi-physics workflows to provide real-time reliability insights.
  • Architectural Innovation: Design end-to-end simulation workflows that address complex 3D-IC challenges, including through-silicon via (TSV) stress, micro-bump reliability, and global package warpage.
  • High-Stakes Collaboration: Act as the lead technical partner for world-class semiconductor companies, demonstrating how Flexcompute’s speed transforms their iterative design cycles from days to minutes.
  • Product Influence: Directly influence the development of our GPU-accelerated solvers, ensuring they are optimized for the non-linear material behaviors and multi-scale meshes required for advanced packaging.
  • Team Building: Recruit, mentor, and lead a high-performing team of engineers specialized in computational mechanics and AI-driven physics.

  • Competitive compensation with equity of a fast-growing startup.
  • Medical, dental, and vision health insurance.
  • 401(k) Contribution.
  • Gym allowance.
  • Friendly, thoughtful, and intelligent coworkers.

Frequently Asked Questions

Is the salary disclosed for the Physics AI - Thermal-Mechanical Reliability position at qdkyPy2Mmw8xoAgSB29L3S?
The salary for this Physics AI - Thermal-Mechanical Reliability role at qdkyPy2Mmw8xoAgSB29L3S is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Physics AI - Thermal-Mechanical Reliability position at qdkyPy2Mmw8xoAgSB29L3S located?
This Physics AI - Thermal-Mechanical Reliability role at qdkyPy2Mmw8xoAgSB29L3S is based in Watertown, Massachusetts, United States. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Physics AI - Thermal-Mechanical Reliability at qdkyPy2Mmw8xoAgSB29L3S belong to?
This Physics AI - Thermal-Mechanical Reliability position is part of the Development department at qdkyPy2Mmw8xoAgSB29L3S. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Physics AI - Thermal-Mechanical Reliability position at qdkyPy2Mmw8xoAgSB29L3S?
Click the "Apply Now" button on this page. You will be redirected to qdkyPy2Mmw8xoAgSB29L3S's official application portal hosted on workable where you can submit your application directly.
When was the Physics AI - Thermal-Mechanical Reliability job at qdkyPy2Mmw8xoAgSB29L3S posted?
This Physics AI - Thermal-Mechanical Reliability position at qdkyPy2Mmw8xoAgSB29L3S was posted on Mar 13, 2026. Apply as soon as possible — early applications are often reviewed first.
Physics AI - Thermal-Mechanical Reliability
qdkyPy2Mmw8xoAgSB29L3S
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