Deep Learning and HPC - Performance Engineer Intern (Start ASAP)

Your Role

Key responsibilities are as follows:

• Benchmark, profile, and analyze AI workloads for LLM training, inference, and HPC on NVIDIA systems.
• Aggregate and produce reports with testing data for internal teams.
• Setup and configure systems for benchmarking.
• Collaborate with teams to debug and improve performance issues.
• Develop Python scripts for automated testing.
• Assist in developing tools and processes for automated testing.

About You

The ideal candidate will have:

• Pursuing a Bachelor's degree in Computer Science, Electrical Engineering, or related field.
• Experience in programming and debugging with Python or Unix shell.
• Strong data analysis skills and report writing ability.
• Hands-on experience with Linux systems and container platforms like Docker.
• Fast learning, analytical, and problem-solving skills.
• Good English communication skills.
• Background in GPU/CPU benchmarking and familiarity with ML/DL frameworks like TensorFlow or PyTorch is a plus.

Benefits

Competitive salary, healthcare benefits, and opportunities for bonuses.

Training & Development

Access to professional development programs and mentorship opportunities.

Career Progression

Potential for growth into advanced engineering roles within NVIDIA's expanding teams.

How to Apply

Submit your application by completing the required form and attaching your resume and cover letter.

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