# Senior Systems Software Engineer - GPU Performance at Scale

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/51379c1e-3b40-49ac-9d1a-df7cee976fb4

Listed on NVIDIA's own careers site. Applications go to them directly.

- Seniority: Senior
- Salary: 184000 – 287500 USD per year

## Summary

NVIDIA is seeking a senior engineer to optimize GPU performance across large-scale AI computing infrastructures, working with hardware, firmware, and software teams to build tools and methodologies for datacenter performance validation. This role suits experienced systems engineers who understand the full stack from profilers to OS-level optimization and want to drive innovations in accelerated computing.

_Our summary, not NVIDIA's wording._

## Skills named

Bash (Scripting), C++, CUDA, Docker, Linux, Python

## Required

- Understanding of accelerated computing software stacks (CUDA)
- Modern cloud and container-based enterprise computing experience
- Programming and scripting in C/C++/Python/Bash
- Deep expertise in systems architecture and performance impact
- Container technology and Linux-based OS experience
- High-performance computing or deep learning support in engineering or academic research
- Teamwork and communication skills with results-focused analysis
- BS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience

## Nice to have

- End-to-end GPU performance engineering from profiler to systems analysis
- Linux systems programming and optimization experience
- Virtualization techniques and cloud platform solutions experience
- Scheduling and resource management systems experience
- Large-scale HPC environments experience
- Slurm experience
- Docker experience
- MS or PhD with 8+ years applicable experience

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Performance-Engineer_JR1996987