Software Engineer – Nonlinear Solid Mechanics & High-Performance Computing

About UsAt 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.The RoleWe 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.What You Will Work OnDevelop 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 iterationPort and optimize these solvers for GPU execution using CUDA, HIP, or equivalent frameworks, with a focus on memory bandwidth, occupancy, and scalabilityImplement FEM discretizations for structural and thermomechanical field solves, with attention to robustness and convergence under stiff, ill-conditioned, and near-singular conditionsContribute to a robust software engineering foundation: version control discipline, automated testing, CI/CD pipelines, and code review practicesCollaborate with domain experts to translate physical models and mathematical formulations into correct, efficient implementationsProfile and benchmark solver performance; identify and eliminate bottlenecksTechnical SkillsWhat we are looking forHands-on experience developing solvers for geometric and material nonlinearity in solid mechanics — large-deformation kinematics, nonlinear constitutive models, and the Newton-type schemes that drive them to convergenceStrong foundation in the finite element method (FEM) for solid and structural mechanicsDeep familiarity with iterative linear solvers (e.g., Krylov methods) and preconditioning techniques for large, sparse systems, with hands-on experience implementing these inside a nonlinear solverProven GPU programming experience (CUDA, HIP, SYCL, or similar) with a track record of getting real performance out of hardwareProficiency in C++ and/or Python; comfort working in performance-critical codebasesStrong software engineering practices: Git workflows, code review, automated testing (unit, integration, regression), and CI/CD pipelinesExperience3–6 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 aboveSoft SkillsA genuine collaborator: you learn from teammates as readily as you help themAble to communicate technical depth clearly to people from different disciplines — physicists, mechanical engineers, product managersComfortable with ambiguity and excited by the challenges that come with building something newSelf-directed and ownership-oriented: you drive your work to completion without needing to be managed closelyNice to HaveExperience 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 applicationExperience with geometric multigrid approaches as solvers or preconditionersBackground in adaptive mesh refinement (AMR)Familiarity with embedded geometry or immersed boundary methods for solid mechanicsExperience applying machine learning to solid mechanics problems (surrogates, constitutive modeling, solver acceleration)Experience with performance profiling tools (Nsight, VTune, Roofline analysis)Why Vinci4dWork on genuinely hard technical problems with real engineering impactJoin a small team where your contributions are visible and your voice is heardCompetitive compensation with equity participationFlexible work environmentThe satisfaction of building something from the ground up — and the opportunity to help define what it becomesCompensation Range: $190K - $230K