Performance Engineering Intern, Deep Learning and… at NVIDIA · Santa…

Summary: NVIDIA builds the most advanced data center GPUs in the world, and they are seeking a Performance Engineer Intern focused on Deep Learning and High-Performance Computing applications. The role involves benchmarking GPU performance, analyzing testing data, and developing automation scripts while collaborating with multi-functional teams. Responsibilities: - 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 the testing data for internal sales, marketing, SW, and HW teams - Develop Python scripts to automate the testing of DL & HPC-focused applications - Work with internal engineering team to debug performance issues - Learn to use the latest applications in the fields of Deep Learning and HPC - Assist with the development of tools and processes that improve our ability to perform automated testing Required Qualifications: - Pursuing bachelors degree in Computer Engineering, Computer Science or related technical field - Excellent programming and debugging skills in a scripting language such as Python or Unix shell - Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred) - Proficient in compiling software from source code, including debugging errors encountered - Excellent English verbal and written interpersonal skills to improve collaboration with coworkers - Excellent data analysis skills and the ability to summarize findings in a written report - Familiarity using a container platform such as Docker or Singularity Preferred Qualifications: - Experience using a GPU-enabled deep learning framework such as TensorFlow, PyTorch, MXNet, or TensorRT - Experience using GPU-enabled HPC applications such as LAMMPS, GROMACS, Amber, RTM, etc… - Experience with GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure - GPU programming experience in CUDA, OpenACC, or OpenCL - Familiarity with software compilers such as GNU, Intel Composer, or PGI with previous experience with computer clusters, Slurm, Kubernetes Required Skills: Python, Linux systems Important Skills: Data analysis, GPU programming Nice-to-Have Skills: Container platforms, Debugging skills, communication Internship Start Date: Start in 2026 Summer Benefits: Intern benefits