Performance Engineering Intern, Deep Learning and HPC - Summer 2026
Santa Clara, CA
Internship
Onsite
Intern
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. They are seeking a Performance Engineer Intern focused on Deep Learning & High-Performance Computing applications to generate benchmark data and improve testing processes.
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, SW, and HW 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
Qualification
Required
Pursuing bachelors degree in Computer Engineering, Computer Science or 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
Preferred
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, Azure
GPU programming experience in CUDA, OpenACC, or OpenCL
Familiarity with software compilers such as GNU, Intel Composer, or PGI with previous experience with computer clusters, Slurm, Kubernetes
Benefits
Intern benefits
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
