Performance Engineering Intern, Deep Learning and HPC - Summer 2026

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. This internship is focused on Performance Engineering for Deep Learning (DL) & High-Performance Computing (HPC) applications.

Preferred duration of the internship: 8 months minimum

Hourly rate for interns: 20 USD - 71 USD

Applications accepted until January 17, 2026.

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 team 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 and previous experience with computer clusters, Slurm, Kubernetes

About the team and company

You will work with a team responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC frameworks/applications on NVIDIA and competitive products. The data collected supports marketing/sales collaterals and engineering studies. The role involves scripting and automating testing processes, working with multi-functional teams, and operating in a dynamic environment with multiple active projects.

NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to fostering a diverse work environment.

Compensation & benefits

• Internship hourly rate: 20 USD - 71 USD (varies by position, location, year in school, degree, and experience)
• Eligible for NVIDIA intern benefits (see NVIDIA intern benefits page)