Job Overview
Location
Palo Alto HQ
Job Type
Full-time
Category
Software Engineering
Date Posted
June 26, 2026
Full Job Description
📋 Description
- • Develop and tune nonlinear solvers for solid mechanics, addressing geometric nonlinearity (large deformation, finite strain) and material nonlinearity (plasticity, viscoelasticity, temperature-dependent and history-dependent constitutive models)
- • Build and optimize underlying linear algebra components, including iterative solvers (Krylov methods) and preconditioners for large, sparse systems arising from Newton iterations in nonlinear FEM
- • Port and optimize nonlinear solvers for GPU execution using CUDA, HIP, or equivalent frameworks, with focus on memory bandwidth, occupancy, and scalability across modern hardware
- • Implement finite element method (FEM) discretizations for structural and thermomechanical field solves, ensuring robustness and convergence under stiff, ill-conditioned, and near-singular conditions
- • Contribute to software engineering infrastructure including version control, automated testing (unit, integration, regression), CI/CD pipelines, and code review practices
- • Collaborate with physicists, mechanical engineers, and software developers to translate mathematical formulations and physical models into correct, efficient production code
- • Profile and benchmark solver performance using industry-standard tools to identify and eliminate computational bottlenecks
- • Write production-quality C++ and/or Python code in performance-critical environments with strict attention to numerical accuracy and computational efficiency
- • Work on foundational simulation software used by engineers worldwide, solving problems that do not yet have existing commercial solutions
- • Drive technical initiatives from concept to deployment with ownership, autonomy, and minimal supervision
- • Communicate complex technical concepts clearly to multidisciplinary teams including domain experts, product managers, and other engineers
- • Engage in continuous improvement of solver algorithms and software architecture to support next-generation simulation capabilities
- • Participate in the design and implementation of novel numerical methods for nonlinear solid mechanics problems that push the boundaries of current simulation technology
- • Contribute to the development of a scalable, maintainable codebase that supports long-term platform growth and extensibility
- • Work in a small, technically deep team where individual contributions directly shape the product and technical direction
🎯 Requirements
- • Hands-on experience developing solvers for geometric and material nonlinearity in solid mechanics, including large-deformation kinematics and nonlinear constitutive models
- • Strong foundation in the finite element method (FEM) for solid and structural mechanics
- • Deep familiarity with iterative linear solvers (e.g., Krylov methods) and preconditioning techniques for large, sparse systems, with hands-on implementation experience
- • Proven GPU programming experience (CUDA, HIP, SYCL, or similar) with a track record of optimizing performance on hardware
- • Proficiency in C++ and/or Python with experience in performance-critical codebases
- • 3–6 years of industry or research experience in computational mechanics, scientific computing, computational physics, numerical simulation, or HPC
🏖️ Benefits
- • Competitive compensation with equity participation
- • Flexible work environment
- • Work on genuinely hard technical problems with real engineering impact
- • Join a small team where contributions are visible and voice is heard
- • The satisfaction of building something from the ground up and helping define what it becomes
Skills & Technologies
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About Vinci4D Inc.
Vinci4D is a biotechnology company focused on developing novel therapeutics for challenging diseases. Leveraging advanced AI and machine learning, they aim to accelerate drug discovery and development by identifying new therapeutic targets and designing innovative drug candidates. Their platform integrates multi-omics data with proprietary algorithms to gain deeper insights into disease mechanisms. Vinci4D's approach seeks to overcome limitations in traditional drug development, offering a more efficient and effective pathway to bring life-saving treatments to patients. The company operates within the pharmaceutical and biotechnology sectors, contributing to the advancement of precision medicine.
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