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Develop workflows and benchmarks for HPC and AI applications in physics simulations, imaging science, and plasma research. You'll work across research and engineering teams to translate scientific collaboration findings into software toolkit improvements, and represent the company at conferences. Requires a BS, MS, or PhD in physics, applied mathematics, or computer science, plus five or more years building HPC or machine learning software for physics applications. Strong GPU computing and modern ML framework experience essential. Hybrid role; base salary ranges from $140,000–$224,250 (Level 3) to $168,000–$270,250 (Level 4).

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

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.

What you’ll be doing:

  • 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • 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.


We work on problems that matter, and with teams that highly value technical excellence. This role offers the chance to construct a software stack for physics algorithms, numerical simulations, data processing/analysis that is supported by advanced computing. You will help craft tools that support researchers, partners, and developers across the ecosystem. It is an opportunity to build technology that can accelerate discovery at global scale!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

All jobs at NVIDIA

Location

United States Remote

Job Overview
Job Posted:
1 week ago
Workplace
Remote
Job Type
Full Time
Education
Any
Experience
5+ years

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