# NVIDIA Spring 2027 Internships: Developer and Performance Technology

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Job type**: internship
**Salary**: $20-$71 per hour
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/NVIDIA-Spring-2027-Internships--Developer-and-Performance-Technology_JR2023499?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d542ec29-1ff

## Description

NVIDIA offers an 8-12 month full-time internship program for students pursuing a B.S. or M.S. degree in a relevant field. As an intern, you will work on projects with a measurable impact on the business, focusing on Performance Engineering, Platform Performance and Power, or Deep Learning and High-Performance Computing (HPC).

**Responsibilities:**

- Performance Engineering:

- Run performance, image quality, and power tests for Professional Visualization, AI, and LLM benchmark applications on various GPUs.

- Configure computer systems with appropriate hardware and software to run benchmarks.

- Build automation scripts to streamline benchmarking procedures.

- Platform Performance and Power:

- Complete post-silicon performance and power benchmarking on NVIDIA and competitive GPU products.

- Develop, implement, and maintain test systems for benchmarking and data collection.

- Deep Learning and High-Performance Computing (HPC):

- Plan and execute GPU performance benchmarking across various HPC and DL Frameworks and Applications.

- Write scripts to improve data gathering through automation.

**Requirements:**

- Actively enrolled in a university pursuing a B.S. or M.S. degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

- Anticipated graduation date must be clearly indicated on a resume or CV.

- Preferred start dates: February 2027 or May 2027.

**Benefits:**

- Hourly rates: $20-$71 per hour, depending on position, location, year in school, degree, and experience.

- Eligibility for Intern benefits.

**Skills:**

- Programming skills: Python, C++, Java, etc.

- Familiarity with GPU Accelerated Deep Learning Frameworks (TensorFlow, PyTorch, MXNet, TensorRT), GPU Programming (CUDA, OpenCL), HPC Applications (LAMMPS, GROMACS, Amber, RTM), Linux, Python/Unix Shell Scripting, Containers (Docker or Singularity).

- Knowledge of 3D Graphics, Image Quality and Power Testing, Low Level System Configuration, Electrical Fundamentals, Compilers, Clusters, Embedded Platforms, Debugging, Benchmarking, Power Testing.

## Skills

### Required
- Python
- GPU Accelerated Deep Learning Frameworks
- GPU Programming
- Linux
- Scripting

### Nice to have
- TensorFlow
- PyTorch
- MXNet
- TensorRT
- CUDA
- OpenCL
- LAMMPS
- GROMACS
- Amber
- RTM

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/NVIDIA-Spring-2027-Internships--Developer-and-Performance-Technology_JR2023499?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)