Performance Engineering Intern, Deep Learning and HPC - Winter 2026

at Nvidia
📍 Santa Clara, United States
USD 41,600-147,700 per year
USD 20-71 per hour
INTERN
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Marketing @ 3 CentOS @ 6 Docker @ 2 Kubernetes @ 3 Linux @ 6 Automated Testing @ 3 Python @ 3 GCP @ 3 TensorFlow @ 3 AWS @ 3 Azure @ 3 Data Analysis @ 3 Debugging @ 3 PyTorch @ 3 CUDA @ 3 GPU @ 3

Details

NVIDIA builds the most advanced data center GPUs in the world that are utilized in a growing number of computing areas ranging from life sciences to deep learning to quantum chemistry. NVIDIA strives to deliver the best possible performance, which allows researchers and scientists to do more world-changing work than ever before. We are looking for a Performance Engineering Intern focused on Deep Learning (DL) & High-Performance Computing (HPC) applications to join our team.

Preferred duration of the internship: 8 months minimum.

Responsibilities

  • Plan and execute GPU performance benchmarking across a wide range of HPC and DL frameworks and applications.
  • Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, software, and hardware teams.
  • Develop Python scripts to automate the testing of DL & HPC-focused applications.
  • Work with internal engineering teams to debug performance issues.
  • Learn to use the latest applications in the fields of Deep Learning and HPC.
  • Assist with the development of tools and processes that improve our ability to perform automated testing.

Requirements

  • Pursuing a bachelor's degree in Computer Engineering, Computer Science, or a related technical field.
  • 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

  • Experience using a GPU-enabled deep learning framework such as TensorFlow, PyTorch, MXNet, or TensorRT.
  • Experience using GPU-enabled HPC applications such as LAMMPS, GROMACS, Amber, RTM, etc.
  • Experience with GPU/CPU benchmarking on cloud solutions from AWS, GCP, or Azure.
  • GPU programming experience in CUDA, OpenACC, or OpenCL.
  • Familiarity with software compilers such as GNU, Intel Composer, or PGI.
  • Previous experience with computer clusters, Slurm, or Kubernetes.

Compensation & Benefits

  • Internship hourly rate: 20 USD - 71 USD (standard pay based on position, location, year in school, degree, and experience).
  • Eligible for intern benefits (link provided in original posting).

Additional information

  • Applications accepted at least until December 14, 2025.
  • NVIDIA is an equal opportunity employer and values diversity in its workforce.