Performance Engineer Intern, Systems Software- Fall 2026

You will join the team responsible for maintaining, developing, and executing Desktop Gaming Performance testing in Linux and Windows environments for the world's fastest, power-efficient GPUs. This internship has a preferred duration of 8-12 months and offers an hourly rate of $20-$71.

Responsibilities:

• Write and maintain containerized GPU-accelerated workloads for the financial services industry, including deep learning training and inference, portfolio optimization, and backtesting.
• Run, validate, and analyze benchmarking models at scale on HPC clusters.
• Visualize performance data, build charts, and create dashboards using internal schemas and tooling.
• Collaborate with the latest financial AI models and tooling to build reference models for NVIDIA.

Requirements:

• Currently enrolled in a Bachelor's program majoring in Computer Engineering, Software Engineering, Computer Science, or a related field.
• Desire to improve code quality by applying computer science fundamentals, algorithms, and data structures.
• Comfortable with teamwork, collaboration, and developing new partnerships.
• Active experience with Python.
• Working knowledge of Linux command-line environments with version control.
• Foundational understanding of the machine learning lifecycle (training, evaluation, and inference).

Preferred Qualifications:

• 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.

Benefits:

• Eligible for intern benefits