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Key skills for this role
At Vinci4d, we are building the next generation of simulation software for thermal, fluid flow, and structural mechanics applications — the kind of tools that change how engineers design products, from the first mesh to the final answer. We are a small, technically deep team that moves fast, ships real software, and takes on hard problems that matter. If you want your work to be foundational to a platform used by engineers worldwide, this is the place.
We are looking for a software engineer who lives at the intersection of computational solid mechanics, numerical methods, and high-performance computing. You will design, implement, and tune solvers for geometric and material nonlinearity in solid mechanics — think large-deformation, contact, and history-dependent material response — that run at scale on modern hardware. You will write production-quality code, contribute to our CI/CD infrastructure, and collaborate closely with a multi-disciplinary team of physicists, engineers, and software developers.
This is not a "maintain the existing stack" role. You will be building things that don't exist yet, solving problems that require both rigorous mathematical thinking and solid engineering instincts.
Develop and tune nonlinear solvers for solid mechanics, handling both geometric nonlinearity (large deformation, finite strain) and material nonlinearity (plasticity, viscoelasticity, temperature-dependent and history-dependent constitutive models)
Build and optimize the underlying linear algebra: iterative linear solvers and preconditioners for the large sparse systems arising at each Newton iteration
Port and optimize these solvers for GPU execution using CUDA, HIP, or equivalent frameworks, with a focus on memory bandwidth, occupancy, and scalability
Implement FEM discretizations for structural and thermomechanical field solves, with attention to robustness and convergence under stiff, ill-conditioned, and near-singular conditions
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More from this employer
Palo Alto, USA
Palo Alto, USA
, USA
, USA
, USA
Contribute to a robust software engineering foundation: version control discipline, automated testing, CI/CD pipelines, and code review practices
Collaborate with domain experts to translate physical models and mathematical formulations into correct, efficient implementations
Profile and benchmark solver performance; identify and eliminate bottlenecks
3–6 years of industry or research experience in a relevant field (computational mechanics, scientific computing, computational physics, numerical simulation, or HPC)
A portfolio of work — open source contributions, published code, or shipped products — that demonstrates the above
Experience with warpage and residual-stress problems in semiconductor manufacturing (e.g., packaging, die/substrate stacks, thermomechanical deformation)
Familiarity with matrix-free methods for nonlinear and linear operator application
Experience with geometric multigrid approaches as solvers or preconditioners
Background in adaptive mesh refinement (AMR)
Familiarity with embedded geometry or immersed boundary methods for solid mechanics
Experience applying machine learning to solid mechanics problems (surrogates, constitutive modeling, solver acceleration)
Experience with performance profiling tools (Nsight, VTune, Roofline analysis)
Work on genuinely hard technical problems with real engineering impact
Join a small team where your contributions are visible and your voice is heard
Competitive compensation with equity participation
Flexible work environment
The satisfaction of building something from the ground up — and the opportunity to help define what it becomes
Verified company details for this employer are not available yet.
USD 190000-230000 yearly / year
Full-time
Mid · 3+ years experience
Onsite
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