NVIDIA · 2 hours ago
Performance Engineering Intern, Deep Learning and HPC - Winter 2026
Santa Clara, CA
Internship
Onsite
Intern
$20/hr - $71/hr
Start in 2026 WinterNVIDIA builds the most advanced data center GPUs utilized in various computing areas, and they are seeking a Performance Engineer Intern focused on Deep Learning and High-Performance Computing applications. The intern will be responsible for benchmarking GPU performance, generating reports, developing automation scripts, and collaborating with engineering teams to debug performance issues.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Hiring Manager
Ashley Jetson
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
Previous experience with computer clusters, Slurm, Kubernetes
Benefits
Intern benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
Founded in 1993
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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Business Insider
2026-01-01
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