Senior Application Engineer, HPC and AI for Physics

at Nvidia

📍 United States

USD 140,000-270,200 per year

SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 Agentic AI @ 3 Algorithms CUDA @ 4 Communication @ 7 GPU @ 7 HPC @ 6 Machine Learning @ 6 Mathematics @ 4 Parallel Programming @ 4 Software Development @ 4

Details

NVIDIA is building software infrastructure for scientific discovery, developing tools that use HPC and AI for numerical simulations in plasmas, lasers, and materials at extreme conditions. This role works across research, engineering, and product teams, translating research collaboration findings into feedback for engineering teams developing toolkits and libraries for accelerated super-resolution imaging, high energy density, plasma, and materials physics.

Responsibilities

Develop workflows for experimental processing and analysis and numerical simulations in imaging science, plasma and high energy physics, and materials science.
Profile applications and run benchmarks to identify bottlenecks and provide recommendations to collaborators and product teams.
Build examples and sample applications for tutorials.
Represent NVIDIA at scientific conferences, workshops, and industry events.
Help build a software stack for physics algorithms, numerical simulations, and data processing and analysis supported by advanced computing.

Requirements

Bachelor's, master's, or doctoral degree in computational, theoretical, or experimental physics, applied mathematics, computer science, or equivalent experience.
5+ years of experience building HPC, AI, or machine learning software for physics applications and numerical simulations.
Strong experience with GPU-accelerated computing and modern machine learning frameworks.
Strong communication skills across technical and non-technical audiences.

Preferred Qualifications

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.

Benefits

Equity and employee benefits.
NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.

Applications will be accepted at least until August 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.