NVIDIA Spring 2027 Internships: Developer and Performance Technology

NVIDIA Corporation; Santa Clara (CA); On-site; USD 28,000 - 98,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation is offering an 8–12 month, full-time internship in Santa Clara for students pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, or Computer Science.

Interns will join Deep Learning teams to run GPU benchmarks, build automation, and develop tools for testing across HPC/DL workflows. Expect hands-on work with CUDA/OpenCL, Linux, Python scripting, containers, and GPU programming.

Qualifications

• Must be actively enrolled in a university pursuing a B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• Anticipated graduation date clearly indicated on a resume or CV.
• Full-time 8–12 month internship; start Feb 2027 or May 2027 preferred.
• Intern hourly rates apply (20–71 USD).

Responsibilities

• Run performance, image quality, and power tests for GPU benchmarks across products.
• Configure systems with hardware and software to run benchmarks.
• Build automation scripts for benchmarking procedures and configurations.
• Assemble hardware and develop/run automation tools for testing.
• Plan and execute GPU performance benchmarking across HPC and DL frameworks.
• Aggregate data and generate reports for internal teams.
• Develop tools to improve automated testing and workflows.

Skills

GPU DL frameworks

CUDA/OpenCL

Linux

Python scripting

Docker

Singularity

Kubernetes

Benchmarks

Power testing

Embedded platforms

3D graphics

Debugging

GPU programming

HPC apps

Education

B.S./M.S. in Electrical Engineering, Computer Engineering, Computer Science

Tools

Docker

Singularity

Kubernetes

Slurm

TensorRT

Job description

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry-leading Deep Learning teams.

We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 8–12-month full-time internship, students will work on projects that have a measurable impact on our business.

We’re looking for students pursuing a B.S. or M.S. degree within a relevant or related field.

Potential Internships

Performance Engineering

• Running performance, image quality, and power tests for Professional Visualization, AI, and LLM benchmark applications on various GPUs.
• Configuring computer systems with appropriate hardware and software to run benchmarks.
• Building automation scripts to benchmarking procedure and balancing configuration files.
• Assembling computer hardware, developing and running automation scripts on applications, and designing tools.
• Course or internship experience related to the following areas could be required: Linux and Shell Scripting, GPU Accelerated Deep Learning Frameworks (TRT, Torch, DML), Python, Containers (Docker or Singularity), Embedded Platforms, 3D Graphics, GPU Programming (CUDA, OpenCL), Benchmarking, Image Quality and Power Testing, Scripting, Debugging, Low Level System Configuration (BIOS Configurations, Memory Timing, Controlling Cache Latency, Overclocking).

Platform Performance and Power

• Completing post-silicon performance and power benchmarking on NVIDIA and competitive GPU products.
• Compiling and analyzing data for internal software, hardware, sales, and marketing groups to inform decisions.
• Developing, implementing, and maintaining test systems by configuring hardware, operating systems, drivers, and software tools used for benchmarking and data collection.
• Implementing hands-on tests focused on performance and power for GPU platforms.
• Maintaining automation tools to improve testing efficiency.
• Course or internship experience related to the following areas could be required: Linux, Python Scripting, Debugging, Electrical Fundamentals (Power Measurement; Multimeters or Data Acquisition Tools), MMs, Agilent DAQs, National Instruments DAQs, GPU Programming (CUDA, OpenCL), Embedded Platforms, Benchmarking, Power Testing.

Deep Learning and High-Performance Computing (HPC)

• Planning and executing GPU performance benchmarking across a wide range of HPC and DL Frameworks and Applications.
• Aggregating, analyzing, and generating written and visual reports with testing data for internal teams.
• Writing scripts to improve data gathering through automation, designing efficient processes for testing a wide variety of applications and hardware.
• Assisting with the development of tools and processes to improve performance of automated testing.
• Course or internship experience related to the following areas could be required: GPU-Enabled Deep Learning Frameworks (TensorFlow, PyTorch, MXNet, TensorRT), GPU-Enabled HPC Applications (LAMMPS, GROMACS, Amber, RTM), GPU/CPU Benchmarking (Cloud Solutions i.e. AWS, GCP, Azure), GPU Programming (CUDA, OpenACC, OpenCL), Compilers (GNU, Intel Composer, PGI), Clusters (Slurm, Kubernetes).

We need to see: Must be actively enrolled in a university pursuing a B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, for the full 8–12-month duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.

Developer and Performance Internship Preferred Start Dates: February 2027 or May 2027.

Required Programming Skills and Technologies

• GPU Accelerated Deep Learning Frameworks (TensorFlow, PyTorch, MXNet, TensorRT, Torch, DML)
• GPU Programming (CUDA, OpenCL)
• HPC Applications (LAMMPS, GROMACS, Amber, RTM)
• Linux
• Python/Unix Shell Scripting
• Containers (Docker or Singularity)
• 3D Graphics
• Image Quality and Power Testing
• Low Level System Configuration (BIOS Configurations, Memory Timing, Controlling Cache Latency, Overclocking)
• Electrical Fundamentals (Power Measurement; Multimeters or Data Acquisition Tools)
• Compilers (GNU, Intel Composer, PGI)
• Clusters (Slurm, Kubernetes)
• Embedded Platforms
• Debugging
• Benchmarking
• Power Testing

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.