Senior GPU-Native Numerical Methods Scientist

NVIDIA; California (MO); On-site; USD 192,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking an Applied Research Scientist to join the computational engineering team. You will design GPU-native numerical methods to accelerate engineering simulations across NVIDIA platforms, exploring solver algorithms and building research prototypes that scale on multi-GPU systems.

The role combines numerical analysis, accelerated computing, and production-minded software engineering, with emphasis on cross-disciplinary work across math, code, hardware, and real engineering

Qualifications

• PhD or equivalent experience in computational mechanics, applied mathematics, scientific computing, computer science, aerospace, mechanical, civil engineering, or a related field.
• 5+ years of relevant work/research experience.
• Experience with PDE discretization, finite element/volume, DG methods, nonlinear solvers, sparse linear algebra, preconditioning, or HPC.
• Experience writing numerical software in C++ and Python, plus CUDA or GPU code development/optimization.
• Experience using profiling, benchmarking, numerical validation, or performance analysis on GPUs or multi-GPU systems.
• Ability to communicate technical tradeoffs clearly and collaborate across research, engineering, product, and partner teams.

Responsibilities

• Invent and reformulate numerical algorithms co-designed for modern NVIDIA GPU architectures, including implicit and explicit engineering simulation.
• Develop linear and nonlinear solver approaches, including Newton-Krylov, multigrid/AMG, domain decomposition, matrix-free, mixed precision and sparse methods.
• Explore GPU-focused reformulations of CPU-based algorithms, including synchronization-avoiding Krylov methods and matrix-free implicit methods.
• Evaluate algorithms on workloads in mechanics, thermal-fluid systems, electromagnetics, semiconductor process and device simulation, EDA, multiphysics.
• Collaborate with CUDA-X, Warp, solver engineering, NVIDIA Research and partners to move research from prototype to production software.

Skills

C++ programming

Python

CUDA

GPU programming

Numerical methods

Education

PhD or equivalent experience

Tools

PETSc

Trilinos

OpenFOAM

cuSPARSE

Job description

NVIDIA is seeking an Applied Research Scientist to join the computational engineering team. You will design GPU-native numerical methods to accelerate engineering simulations across NVIDIA platforms, exploring solver algorithms and building research prototypes that scale on multi-GPU systems.

The role combines numerical analysis, accelerated computing, and production-minded software engineering, with emphasis on cross-disciplinary work across math, code, hardware, and real engineering