Vinci4D.ai

Infrastructure Engineer

• Design, build, and operate the backend services and infrastructure that power Vinci’s simulation and inference platform.
• Own infrastructure-as-code with Terraform across our cloud environments, provisioning and managing services reliably and repeatably.
• Build and harden CI/CD pipelines (Jenkins or equivalent) so the team can ship with confidence and strong regression coverage.
• Maintain and evolve our build systems (CMake, pip/uv) across large Python and C++ codebases.
• Take early prototypes through iteration and hardening all the way to customer use, in modest iterative steps.
• “Close the gap” on pre-existing infrastructure where needed, and evolve core platform components as the product grows.

Backend Infrastructure Engineer

Researcher

• Production and delivering value to our customers.
• Leverage the Vinci framework to work on a variety of novel applications.
• Experiment with temporal propagation schemas.
• Use pre-existing data generation infrastructure.
• Take modest iterative steps to prove new utility.
• Work with Physicists, AI researchers, Software Engineers and Computational Geometry experts.
• Carry early prototypes through iteration and hardening to customer use.

Physics Applications Researcher

Full-stack Engineer

• Design, implement, and tune solvers for geometric and material nonlinearity in solid mechanics
• 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
• 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

Software Engineer – Nonlinear Solid Mechanics, High-Performance Computing

Systems Engineer

• Your north star will be the guaranteed (empirical) validation of simulation systems.
• In this role you will use and evaluate the cutting edge solutions developed by our Machine Learning and Solver teams. Ensure that our customers receive the highest value results by building a runtime evaluation mechanism. Develop a compelling data driven argument for this mechanism. Work with software engineers to implement your designs and demonstrate validity.
• You will sit at the interface of teams of Physicists, AI researchers, Software Engineers and Computational Geometry experts. You are comfortable working with deep technical experts and bringing your own expertise to bear.

Senior Systems Engineer – Simulation Correctness

• Define and implement high-quality, reusable software libraries for our core simulation engine.
• Drive code quality, testability, and architectural standards across the team, ensuring our production system scales gracefully and remains maintainable.
• Design interfaces that are easy to access and correctly reflect the physics they are modeling.
• Take ownership of critical system components, mentor junior engineers, and guide the team in transforming research prototypes into hardened, customer-facing features.
• Collaborate closely with a team of Physicists, AI researchers, Software Engineers and Computational Geometry experts to enforce software engineering best practices throughout the full development lifecycle, from ideation to deployment.

Principal Software Engineer – Physics Applications

• Design and implement low-latency, scalable solutions to decompose and distribute our production simulations
• Multi-GPU machines
• Multi-Node clusters
• Networked nodes

Backend Infrastructure Engineer

Physics Applications Researcher

Software Engineer – Nonlinear Solid Mechanics, High-Performance Computing

Senior Systems Engineer – Simulation Correctness

Principal Software Engineer – Physics Applications

Senior Simulation Runtime Software Engineer