DirectJobHub
Jobs · OTHR · California

NVIDIA Spring 2027 Internships: Developer and Performance Technology

NVIDIA · Santa Clara, CA · 3 wk ago
OTHRFull-time

About the role

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. This 8–12-month full-time internship offers an excellent opportunity to expand your career and get hands-on experience with one of our industry-leading Deep Learning teams. Interns will work on projects that have a measurable impact on our business.

Potential Internship Areas

  • 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 for benchmarking procedures and balance configuration files
    • Assemble computer hardware, develop and run automation scripts on applications, and design tools

    Relevant experience may include: 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
    • Complete post-silicon performance and power benchmarking on NVIDIA and competitive GPU products
    • Compile and analyze data for internal software, hardware, sales, and marketing groups to inform decisions
    • Develop, implement, and maintain test systems by configuring hardware, operating systems, drivers, and software tools used for benchmarking and data collection
    • Implement hands-on tests focused on performance and power for GPU platforms
    • Maintain automation tools to improve testing efficiency

    Relevant experience may include: 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)
    • 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 testing data for internal teams
    • Write scripts to improve data gathering through automation
    • Design efficient processes for testing a wide variety of applications and hardware
    • Assist with the development of tools and processes to improve performance of automated testing

    Relevant experience may include: 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).

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, 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

Preferred Skills

Depending on the internship role, prior experience or knowledge may include:

  • 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

Schedule

  • 8–12-month full-time internship
  • Preferred start dates: February 2027 or May 2027

Pay

  • Hourly rate: 20 USD - 71 USD, based on position, location, year in school, degree, and experience

Benefits

Interns are eligible for intern benefits.

JR2023499

Similar jobs