Senior Applied Research Scientist – GPU Native Numerical Algorithms

NVIDIA
California, New York, Pennsylvania, Massachusetts
Workplace: RemoteFull timeUSD 192,000 - 356,500 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: phdSkills: ["Communication","Collaboration"]

Design GPU-native numerical methods for engineering simulation, from solver algorithms and research prototypes to prototype-to-software transitions. Build and evaluate linear/nonlinear solvers (Newton-Krylov, multigrid/AMG, domain decomposition, mixed precision, sparse methods) and rethink CPU-oriented approaches for massive parallelism, hierarchical memory, and reduced synchronization. Benchmark and validate across mechanics, multiphysics, CFD, electromagnetics, and semiconductor/EDA workloads while collaborating with CUDA-X, NVIDIA Research, solver engineering, and partners.

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NVIDIA
NVIDIA
5 days ago

Senior Applied Research Scientist – GPU Native Numerical Algorithms

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Last checked: 29 minutes agoStatus: Live

Job Summary

Design GPU-native numerical methods for engineering simulation, from solver algorithms and research prototypes to prototype-to-software transitions. Build and evaluate linear/nonlinear solvers (Newton-Krylov, multigrid/AMG, domain decomposition, mixed precision, sparse methods) and rethink CPU-oriented approaches for massive parallelism, hierarchical memory, and reduced synchronization. Benchmark and validate across mechanics, multiphysics, CFD, electromagnetics, and semiconductor/EDA workloads while collaborating with CUDA-X, NVIDIA Research, solver engineering, and partners.
Location: California, New York, Pennsylvania, Massachusetts
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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 such as Newton-Krylov, multigrid/AMG, domain decomposition, matrix-free algorithms, and mixed precision methods.
  • •Evaluate and determine when to replace CPU-oriented numerical methods with GPU-native synchronization-avoiding Krylov methods, multigrid/domain decomposition, and sparse solver hybrids.
  • •Assess algorithms on representative mechanics and multiphysics workloads across areas such as contact, thermal-fluid systems, electromagnetics, semiconductor process/device simulation, EDA, and CAE.
  • •Collaborate across CUDA-X, Warp, solver engineering, NVIDIA Research, universities, and industry partners to move research prototypes into NVIDIA software capabilities.

Pay and Benefits

Salary: USD 192,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •PhD or equivalent experience in computational mechanics, applied mathematics, scientific computing, computer science, or a related technical field.
  • •5+ years of relevant work/research experience.
  • •Research/engineering experience with PDE discretization, finite element/finite volume, nonlinear solvers, sparse linear algebra, preconditioning, or high-performance computing.
  • •Experience writing numerical software in C++ and Python, plus developing or optimizing CUDA or GPU code.
  • •Experience with profiling/benchmarking and numerical validation to improve algorithms on GPU or multi-GPU systems.
Experience:5+ years
Education:PhD / Doctorate
Skills:CommunicationCollaboration
Tech Stack:C++PythonCUDAGPUCUDA-XWarpPETScTrilinosMFEMLibCEEDOpenFOAMCuSPARSECuSOLVERMPINCCLAnsysAbaqusLS-DYNASiemens SimcenterDassault SIMULIA

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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Glassdoor: 4.3
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