Senior Application Engineer, HPC and AI for Physics

Nvidia

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
CAIL
Salary
$140,000–$224,250 / yr
Employment
Full-time
Posted
63 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k
This role $182k
$129k $241k
below market most similar roles pay here above market

This role pays less than 55% of similar roles. Most pay $152,766–$230,100 — the blue band above. At the midpoint, this role pays about $182k versus about $191k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Application Engineer, HPC and AI for Physics

The Senior Application Engineer, HPC and AI for Physics will join a team developing software infrastructure for scientific discovery in plasma, lasers, and materials at extreme conditions. You will translate research into software tools, developing workflows for experimental processing, numerical simulations, and analysis in imaging science and high energy physics. Key responsibilities include profiling applications to identify bottlenecks, building sample applications for tutorials, and representing the company at scientific conferences. You must possess a degree in physics, mathematics, or computer science and experience building HPC, AI, or machine learning software. Required skills include GPU-accelerated computing, modern ML frameworks, and parallel programming. You will work on technical problems involving particle-in-cell simulations and agentic AI workflows to support researchers and developers across the scientific ecosystem.

What you'll do

  • Develop workflows for experimental processing, analysis, and numerical simulations in imaging science and high energy physics.
  • Translate research findings into feedback for engineering teams to improve toolkits and libraries.
  • Profile applications and run benchmarks to identify performance bottlenecks.
  • Provide technical recommendations to collaborators and product teams based on performance data.
  • Build example applications and sample code for user tutorials.
  • Represent the company at leading scientific conferences, workshops, and industry events.

What we're looking for

  • BS, MS, or PhD in computational/theoretical/experimental physics, applied mathematics, computer science, or equivalent experience.
  • 5+ years of experience building HPC, AI, or machine learning software for physics and numerical simulations.
  • Strong experience with GPU-accelerated computing and modern ML frameworks.
  • Strong communication skills for technical and non-technical audiences.
  • High-impact publications in HPC and AI for numerical simulations, plasma physics, and imaging science (preferred).
  • Deep understanding of numerical simulations such as particle-in-cell (preferred).
  • Experience with CUDA, parallel programming, or performance-focused software development (preferred).
  • Familiarity with agentic AI workflows for science and discovery (preferred).

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