Senior Application Engineer, HPC and AI for Physics

Nvidia
US, CA, Remote / US, IL, Remote2026-08-25remote_local

About the job

We are building the software infrastructure for the next era of scientific discovery. At NVIDIA, we believe AI will transform how new physics for plasmas, lasers, and materials at extreme conditions are discovered. We are developing software tools to make it possible! We are looking for a Senior Application Engineer who is passionate about HPC+AI for numerical simulations, and physics translating complex research into software that scientists use for real discovery. You will work across research, engineering and product teams. You will translate learnings from research collaborations into feedback to engineering on toolkits and libraries for accelerated super-resolution imaging, high energy density, plasma, and material physics.

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

Qualifications

Minimum

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

Preferred

High-impact publications in HPC and AI for numerical simulations, plasma physics and imaging science

Deep understanding of numerical simulations such as particle-in-cell

Experience with CUDA, parallel programming, or performance-focused software development

Familiarity with agentic AI workflows for science and discovery