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.
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.Skills Required
- BS, MS, or PhD in computational physics, theoretical physics, experimental physics, applied mathematics, computer science, or equivalent experience
- 5+ years building HPC, AI, or machine learning software for physics applications and numerical simulations
- Strong experience with GPU-accelerated computing
- Strong experience with modern machine learning frameworks
- Strong communication skills with technical and non-technical audiences
- High-impact publications in HPC and AI for numerical simulations, plasma physics, or 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
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
