You will design production-grade solver infrastructure for complex engineering simulations, focusing on domain decomposition, Schwarz methods, and multigrid preconditioning. By integrating classical numerical methods with AI-augmented enhancements, you will build scalable GPU-accelerated solvers that transform traditional design workflows. This role offers the chance to solve high-impact mathematical challenges for the semiconductor industry.
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Solver Infrastructure Engineer at Well-funded hardware simulation startup
Are you a numerical analysis expert ready to build the next generation of simulation technology? This well-funded startup is seeking a Solver Infrastructure Engineer to own the design of production-grade, GPU-accelerated solvers for complex hardware engineering. You will merge classical numerical methods like domain decomposition and multigrid preconditioning with cutting-edge AI enhancements to solve massive systems of equations. If you have deep experience in CUDA-level performance engineering and want to apply mathematical rigor to one of the hardest problems in chip design, this is your opportunity to shape a foundational technical stack alongside a team of industry veterans.
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Location
Remote (United States)
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Well-funded hardware simulation startup
What you will do
- Architect and implement distributed solver systems using CG, GMRES, and Schwarz frameworks for massive sparse systems.
- Develop AI-augmented numerical enhancements, including learned coarse space discovery and adaptive preconditioner selection for GPU clusters.
- Optimize kernel-level performance using CUDA and HIP to ensure software scales across multi-GPU and distributed execution paradigms.
Who this is a fit for
- Deep expertise in numerical linear algebra, domain decomposition, and scalable preconditioning for extreme-scale systems.
- Proven experience shipping production-grade solver infrastructure on GPUs, with strong mastery of CUDA-first performance engineering.
- Strong background in high-performance computing, understanding the critical balance between spectral equivalence and communication-computation trade-offs.
Why this role is remarkable
- Tackle foundational numerical problems in a domain that has seen little innovation for decades, moving beyond prototypes to production impact.
- Join an elite technical team backed by top-tier venture capital firms specializing in deep-tech and hardware infrastructure.
- Enjoy significant technical autonomy in a remote-friendly environment with a culture focused on mathematical rigor and hardware-level performance.
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If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.