Senior HPC & AI Physics Applications Engineer

Nvidia Corporation in; Santa Clara (CA); Hybrid; USD 140,000 - 270,000; Full time

Job summary

NVIDIA is seeking a Senior Application Engineer to advance HPC and AI for physics simulations, translating research into robust software used by scientists across imaging, plasma, and materials domains. You’ll collaborate with research, engineering, and product teams to push the boundaries of accelerated computation.

The ideal candidate has 5+ years building HPC/ML software for physics, strong CUDA and GPU expertise, and excellent communication across technical and non-technical audiences.

Qualifications

• BS/MS/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.

Responsibilities

• Develop workflows for experimental processing/analysis and numerical simulations with applications in imaging science, plasma and high energy physics, and material science
• Profile the application and run benchmarks to identify bottlenecks and suggestion recommendations to collaborators and product teams
• Build examples or sample applications for tutorials
• Represent NVIDIA at leading scientific conferences, workshops, and industry events.

Skills

HPC software development

GPU-accelerated computing

Machine learning

Effective communication

Education

BS/MS/PhD in computational/theoretical/experimental physics, applied mathematics or CS

Tools

CUDA

Parallel programming

Performance optimization

Job description

NVIDIA is seeking a Senior Application Engineer to advance HPC and AI for physics simulations, translating research into robust software used by scientists across imaging, plasma, and materials domains. You’ll collaborate with research, engineering, and product teams to push the boundaries of accelerated computation.

The ideal candidate has 5+ years building HPC/ML software for physics, strong CUDA and GPU expertise, and excellent communication across technical and non-technical audiences.