NVIDIA Spring 2027 Internships: Developer and Performance Technology

Job Title

NVIDIA Spring 2027 Internships: Developer and Performance Technology

Role Summary

8–12 month, full-time internships on Developer & Performance Technology teams. Interns work on GPU performance, benchmarking, automation, power and image-quality testing, and deep learning / HPC workloads that inform hardware and software decisions.

Projects are hands-on and measurable; interns configure systems, run benchmarks, collect and analyze data, and develop automation and tooling used by internal engineering teams.

Experience Level

Entry-level internship for current university students; no professional years-of-experience required. Targeted at students pursuing B.S. or M.S. degrees.

Responsibilities

Typical responsibilities vary by team and project. Examples include:

• Design and run performance, image-quality, and power benchmarks on GPU hardware and software stacks.
• Configure and maintain test systems: hardware assembly, OS/drivers, BIOS and low-level settings.
• Develop and maintain automation scripts and tools for data collection and benchmarking.
• Aggregate, analyze, and present test data to engineering and cross-functional stakeholders.
• Implement hands-on tests for post-silicon performance and power characterization.
• Assist in debugging, tuning, and reproducing performance issues on GPU-accelerated applications.
• Contribute to processes that improve testing coverage and efficiency.

Requirements

Applicants should demonstrate practical experience and availability for the internship duration. Education requirements are summarized separately below.

• Must-have: Available full-time for the full 8–12 month internship period.
• Must-have: Relevant coursework or internship experience in one or more of: Linux, Python or Unix shell scripting, basic debugging, or GPU-accelerated frameworks.
• Must-have: Ability to work with hardware and low-level system configuration (assembling systems, BIOS settings, driver installs) as needed for testing.
• Preferred: Preferred start dates: February 2027 or May 2027.
• Nice-to-have: Experience with GPU programming (CUDA, OpenCL), TensorRT/PyTorch/TensorFlow, containers (Docker/Singularity), or cluster schedulers (Slurm, Kubernetes).
• Nice-to-have: Experience with benchmarking, power measurement tools (multimeters, DAQs), compilers, embedded platforms, or HPC applications.

Education Requirements

Must be actively enrolled and pursuing a B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field for the full 8–12 month internship. Resume or CV must clearly state anticipated graduation month and year. (No other degree or certification requirements specified.)

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.