Nvidia
Performance Engineering Intern, Deep Learning and HPC - Summer 2026
Found: Today
This internship is based in Santa Clara, CA and is full-time for a minimum duration of 8 months.
Compensation:
$20 - $71/hour
Responsibilities:
- Plan and execute GPU performance benchmarking across various HPC and DL frameworks.
- Analyze data and generate reports for internal teams.
- Develop Python scripts for automating testing processes.
- Collaborate with engineering teams to debug performance issues.
Requirements:
- Pursuing a bachelor's degree in Computer Engineering, Computer Science, or related field.
- Strong programming skills in Python or Unix shell.
- Experience with Linux systems (Ubuntu and CentOS preferred).
- Excellent data analysis and reporting skills.
Preferred Qualifications:
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with container platforms like Docker.
