Applied Research Scientist: GPU-Native Numerical Methods

Nvidia Corporation; Santa Clara (CA); 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 our computational engineering applied research team in Santa Clara. You will design GPU-native numerical methods to speed up engineering simulation, build research prototypes, and move promising ideas into NVIDIA software platforms for researchers and engineers.

You will explore solver algorithms, work across math, code, and hardware, and help shape the long-range applied research roadmap toward AI-native computational engineering.

Qualifications

• PhD or equivalent in computational mechanics, applied mathematics, scientific computing, CS, aerospace, mechanical, civil engineering, or related field.
• 5+ years of relevant work/research experience.
• Experience with PDE discretization, finite element/finite volume/discontinuous Galerkin methods, nonlinear solvers, sparse linear algebra, preconditioning, or HPC.
• Experience writing numerical software in C++ and Python, plus CUDA or GPU code.
• Experience using profiling, benchmarking, numerical validation, or performance analysis on GPU 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 NVIDIA GPU architectures, including implicit and explicit engineering simulation.
• Develop linear and nonlinear solver approaches: Newton-Krylov, multigrid/AMG, domain decomposition, matrix-free, mixed precision, sparse methods, preconditioning.
• Investigate reformulation of CPU methods for GPU architectures, including synchronization-avoiding Krylov methods and GPU-native multigrid/domain decomposition.

Skills

C++ programming

Python programming

GPU computing

Communication

Education

PhD or equivalent in related field

Tools

CUDA

MPI

OpenMP

PETSc/Trilinos

OpenFOAM

Job description

NVIDIA is seeking an Applied Research Scientist to join our computational engineering applied research team in Santa Clara. You will design GPU-native numerical methods to speed up engineering simulation, build research prototypes, and move promising ideas into NVIDIA software platforms for researchers and engineers.

You will explore solver algorithms, work across math, code, and hardware, and help shape the long-range applied research roadmap toward AI-native computational engineering.