Senior Application Engineer, HPC and AI for Physics

NVIDIA
California, Illinois
Workplace: HybridFull timeUSD 140,000 - 270,250 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Performance optimization","Benchmarking","Technical problem-solving"]

Build software workflows that turn physics research into tools for numerical simulations and imaging science. Develop experimental processing/analysis and simulation workflows, profile applications, and optimize performance to remove bottlenecks. Create example/sample applications for tutorials, collaborate across research, engineering, and product teams, and represent NVIDIA at scientific conferences to gather feedback and accelerate discovery at global scale.

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FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior Application Engineer, HPC and AI for Physics

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build software workflows that turn physics research into tools for numerical simulations and imaging science. Develop experimental processing/analysis and simulation workflows, profile applications, and optimize performance to remove bottlenecks. Create example/sample applications for tutorials, collaborate across research, engineering, and product teams, and represent NVIDIA at scientific conferences to gather feedback and accelerate discovery at global scale.
Location: California, Illinois
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop workflows for experimental processing/analysis and numerical simulations for imaging science, plasma/high energy physics, and material science.
  • •Profile applications, run benchmarks, identify bottlenecks, and recommend improvements to collaborators and product teams.
  • •Build example or sample applications to support tutorials.
  • •Translate learnings from research collaborations into feedback for toolkits and libraries used by scientists.
  • •Represent NVIDIA at leading scientific conferences, workshops, and industry events.

Pay and Benefits

Salary: USD 140,000 - 270,250 annually
Equity and Bonus:Equity

Key Requirements

  • •BS, MS, or PhD in computational, theoretical and/or experimental physics, applied mathematics, computer science, or equivalent experience.
  • •5+ years building HPC, AI, or machine learning software for applications in physics and numerical simulations.
  • •Strong experience with GPU-accelerated computing and modern ML frameworks.
  • •Strong communication skills across technical and non-technical audiences.
  • •Experience with HPC, parallel programming, and performance-focused software development, including CUDA.
Experience:5+ yearsHPCAIMachine learningPhysicsNumerical simulations
Education:Bachelor's in computational, theoretical and/or experimental physics, applied mathematics, computer science
Skills:CommunicationCollaborationPerformance optimizationBenchmarkingTechnical problem-solving
Tech Stack:HPCAIMachine learningGPU-accelerated computingML frameworksCUDAParallel programmingParticle-in-cellNumerical simulationsAgentic AISuper-resolution imaging

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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