Senior Applied Research Scientist – AI Native Numerical Methods

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

Develop AI-native numerical algorithms that fuse machine learning with classical solvers to improve convergence, stability, accuracy, robustness, and runtime for large-scale simulations. Invent learned coarse spaces, preconditioners, AI-guided multigrid, solver-in-the-loop pipelines, differentiable solver components, and hybrid numerical/ML methods. Evaluate numerical impact and collaborate across CUDA-X, Warp, PhysicsNeMo, and NVIDIA Research while shaping the applied research agenda.

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NVIDIA
NVIDIA
1 week ago

Senior Applied Research Scientist – AI Native Numerical Methods

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 28 minutes agoStatus: Closed

Job Summary

Develop AI-native numerical algorithms that fuse machine learning with classical solvers to improve convergence, stability, accuracy, robustness, and runtime for large-scale simulations. Invent learned coarse spaces, preconditioners, AI-guided multigrid, solver-in-the-loop pipelines, differentiable solver components, and hybrid numerical/ML methods. Evaluate numerical impact and collaborate across CUDA-X, Warp, PhysicsNeMo, and NVIDIA Research while shaping the applied research agenda.
Location: California, District of Columbia, New York, Pennsylvania, Massachusetts
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Research AI-assisted numerical methods to improve convergence, stability, accuracy, robustness, and wall-clock performance for large-scale simulations.
  • •Invent learned coarse spaces, learned preconditioners, AI-guided multigrid, sequence-aware solver strategies, solver-control policies, differentiable solver components, and hybrid numerical/ML algorithms.
  • •Build solver-in-the-loop pipelines using residual histories, discretized operators, meshes/geometry, simulation outputs, performance counters, and physics constraints.
  • •Define evaluation methods to measure numerical impact such as convergence rate, failure rate, conservation, memory footprint, correctness, and end-to-end speedup.
  • •Collaborate with teams across numerical methods and NVIDIA platforms and help define the applied research agenda for AI-native numerical methods and solver intelligence.

Pay and Benefits

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

Key Requirements

  • •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.
Experience:5+ yearsScientific computingGPU computingNumerical methodsDifferentiable simulation
Education:PhD / Doctorate
Skills:CommunicationCollaborationResearchProblem-solving
Tech Stack:PyTorchJAXPythonGPU computingCUDA-XWarpPhysicsNeMoPDEsSparse linear algebraIterative solversPreconditioningFinite element methodsFinite volume methodsDifferentiable programming

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
Glassdoor
Glassdoor: 4.3
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