About the role#
This internship provides hands-on experience with performance engineering, platform power, and deep learning or high-performance computing. You will contribute to projects that have a measurable impact on our business during an 8 to 12-month full-time term. You will work alongside teams to test, analyze, and optimize GPU technologies.
What you'll do#
- Run performance, image quality, and power tests for professional visualization, AI, and LLM applications.
- Configure computer systems with the necessary hardware and software to execute benchmarks.
- Assemble computer hardware and maintain test systems by configuring drivers and operating systems.
- Develop and maintain automation scripts to improve data gathering and testing efficiency.
- Complete post-silicon performance and power benchmarking on NVIDIA and competitive GPU products.
- Compile and analyze data to generate written and visual reports for internal software, hardware, sales, and marketing groups.
- Plan and execute GPU performance benchmarking across HPC and DL frameworks.
- Design tools and processes to improve the performance of automated testing.
What you'll need#
- Current enrollment in a B.S. or M.S. program in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Availability for the full 8 to 12-month duration, with your anticipated graduation date clearly listed on your resume.
- Proficiency in Linux, Shell Scripting, and Python.
- Experience with GPU programming such as CUDA or OpenCL.
- Familiarity with GPU-accelerated frameworks like PyTorch, TensorFlow, TensorRT, or MXNet.
- Knowledge of containers like Docker or Singularity.
- Experience with benchmarking, debugging, and low-level system configuration, including BIOS settings or overclocking.
- Understanding of electrical fundamentals, including power measurement and data acquisition tools like Agilent or National Instruments DAQs.
- Experience with HPC applications, compilers, or cluster management tools like Slurm and Kubernetes.
Location & details#
- Location: Santa Clara, California.
- Modality: On-site.
- Duration: 8 to 12 months.
- Terms: Winter 2027 or Summer 2027 start dates.
- Employment: Full-time paid internship.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
