- 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
Depending on the internship role, prior experience or knowledge requirements could include the following 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
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Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 71 USD.
You will also be eligible for Intern benefits.
Applications are accepted on an ongoing basis.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.