- PhD or equivalent experience in computer science, machine learning, scientific computing, applied mathematics, computational engineering, physics, or a related field.
- 5 years of relevant work/research experience
- Background in machine learning and scientific computing, with evidence of connecting ML methods to numerical algorithms.
- Experience with PyTorch, JAX, or comparable deep learning frameworks, plus Python and GPU computing.
- Working knowledge of PDEs, sparse linear algebra, iterative solvers, preconditioning, finite element / finite volume methods, optimization, or differentiable programming.
- Research record in scientific machine learning, numerical linear algebra, or differentiable simulation integrated with numerical solvers.
- Communication skills that support collaboration across AI research, numerical methods, product, and production software teams.
Ways to stand out from the crowd
- Evidence that ML methods improved real numerical solvers through faster convergence, fewer failures, improved robustness, or lower cost on industrial-scale simulations.
- Experience with AI-guided multigrid, reduced-order components inside solver algorithms, neural operators connected to solver workflows, or automated solver control.
- Experience with differentiable simulation, PDE-constrained learning, inverse design, uncertainty quantification, Bayesian methods, reinforcement learning for solver control, or automated algorithm selection.
- Publications, software contributions, or collaborations in scientific computing, matrix computations, industrial simulation, CAE, EDA, semiconductor simulation, electronic build, thermal-fluid simulation, electromagnetics, or digital twins.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 192,000 USD – 304,750 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.