- B.S. in Computer Engineering, Computer Science or related technical field (or equivalent experience).
- 2+ years of experience.
- Excellent programming and debugging skills in a scripting language such as Python or Unix shell.
- Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred).
- Proficient in compiling software from source code, including debugging errors encountered.
- Excellent English verbal and written interpersonal skills to improve collaboration with coworkers.
- Excellent data analysis skills and the ability to summarize findings in a written report.
- Familiarity using a container platform such as Docker or Singularity.
Ways to stand out from the crowd
- Experience using a GPU-enabled deep learning framework such as PyTorch, MXNet, or TensorRT.
- Experience using GPU-enabled HPC applications such as LAMPS, GROMACS, Amber, RTM, etc…
- GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure.
- Software compilers such as GNU, Intel Composer, or PGI.
- Previous experience with computer clusters and cluster orchestration and scheduling tools.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 116,000 USD – 189,750 USD for Level 2; and 136,000 USD – 212,750 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.