Performance Engineer Intern, Systems Software- Fall

What you’ll be doing:

• Writing and maintaining containerized GPU‑accelerated workloads for the financial services industry, from deep learning training and inference, to portfolio optimization and backtesting.
• Running, validating, and analyzing benchmarking models at scale on HPC clusters.
• Visualizing performance data, building charts and dashboards using internal schemas and tooling.
• Working closely with the latest and greatest in financial AI models and tooling to help build reference models for NVIDIA.

• Enrolled in a Bachelors program majoring in Computer Engineering, Software Engineering, Computer Science, or related field.
• Desire to improve code quality by learning and applying computer science fundamentals, algorithms, and data structures.
• Comfort with teamwork, collaboration, and a desire to reach across functional borders to develop new partnerships.
• Active experience with Python.
• Working comfort in a Linux command-line environment with version control.
• Foundational understanding and interest of the machine learning lifecycle (training, evaluation, and inference).

• Familiarity with PyTorch and/or training, testing, and evaluating machine learning models.
• Experience with GPU computing or CUDA and libraries like cuOPT, CUTLASS, cuDNN, etc.
• Exposure to workload orchestration and job schedulers (Kubernetes, Slurm).
• Experience with containerized applications and resource management.
• Interest in quantitative finance and applying performance data to real‑world problems.

Internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.