NVIDIA
·Artificial Intelligence
Senior Applied Research Scientist – GPU Native Numerical Algorithms
About this role
NVIDIA is seeking an Applied Research Scientist to design GPU-native numerical methods for engineering simulation. You'll invent algorithms co-designed for modern GPU architectures, develop linear/nonlinear solvers, and help move research from prototype to production software used across mechanics, CFD, electromagnetics, and semiconductor simulation.
Must have
PhD or equivalent experience in computational mechanics, applied mathematics, scientific computing, or related technical field
5+ years of relevant work or research experience
Research or engineering experience with PDE discretization, finite element, finite volume, or nonlinear solvers
Experience writing numerical software in C++ and Python
Experience developing or optimizing CUDA or GPU code
Experience with profiling, benchmarking, or performance analysis on GPU or multi-GPU systems
Technologies
Responsibilities
Invent and reformulate numerical algorithms co-designed for modern NVIDIA GPU architectures
Develop linear and nonlinear solver approaches including Newton-Krylov methods and multigrid
Investigate when CPU-oriented numerical methods should be reformulated for GPU architectures
Evaluate algorithms on workloads in mechanics, CFD, electromagnetics, and semiconductor simulation
Collaborate with CUDA-X, Warp, solver engineering, and research teams to move prototypes to production
Help shape the long-term research roadmap for GPU-native numerical methods and AI-native engineering
Benefits
Recruitment process
Base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5
Applications accepted at least until August 17, 2026
Posting is for an existing vacancy
NVIDIA uses AI tools in its recruiting processes
NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment
