This role pays less than
54%
of similar roles. Most pay
$158,025–$235,750
— the shaded band above.
At the midpoint, this role pays about
$182k
versus about
$197k
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Application Engineer, HPC and AI for Physics, you will join a team focused on building software infrastructure to accelerate scientific discovery in areas like plasma, lasers, and material physics. You will translate complex research into usable tools by developing workflows for experimental processing, analysis, and numerical simulations. Your daily responsibilities include profiling applications, running benchmarks to identify bottlenecks, and creating sample applications for tutorials while representing the company at scientific conferences. The role requires expertise in GPU-accelerated computing, modern machine learning frameworks, CUDA, and parallel programming. You will solve technical challenges related to super-resolution imaging and high energy density physics. Candidates should possess a background in computational physics or computer science, with experience in particle-in-cell simulations and agentic AI workflows for scientific discovery and data processing.
GPU
HPC
Deep Learning
C++
Python
Bash
Linux
Parallel Filesystems
Accelerated Computing
System Administration
Telemetry
Visualization Pipelines
I/O Stacks