Deep Learning Performance Architect Intern null

Your role

Job Description: 

NVIDIA is looking for an expert deep learning system performance architect to join the AI performance projection and analysis efforts. In this position, you will have a chance to work on performance projection, analysis, and optimization of state-of-the-art hardware architectures for various AI workloads. 

Job Responsibilities:

• Analyze state-of-the-art AI models on various GPU hardware platforms (e.g., Client (Desktop/Laptop) platforms and SoCs)
• Identify performance bottlenecks and propose optimizations
• Performance analysis of DL workloads (e.g., LLM)

About you

What NVIDIA Needs To See:

• BS, MS, or PhD students in a relevant discipline (CS/EE/Math, etc.,)
• Experience with popular AI models (e.g., LLM and AIGC models)
• Be familiar with typical deep learning SW framework (e.g., Torch/JAX/TensorFlow)
• Knowledge and experience in hardware architectures for deep learning applications

Benefits

NVIDIA offers interns the following:

• Intern Experience
• Healthcare Programs
• Time Off & Holidays
• Well-Being
• Learning & Development

Training & development

Interns at NVIDIA are employees. They do real work, on real projects, side by side with some of the industry's brightest minds. Interns get hands-on with never-before-seen technologies and the latest software and hardware developments. The internships are global and available year-round—for a minimum of 12 weeks.

Career progression

Being an intern is the best way to kick-start your journey at NVIDIA, as it’s the primary pipeline for new college grads and early-in-career hiring. You’ll participate in meaningful work, make a difference on real projects, connect with the greatest minds in our industry, and build lifelong connections.

How to apply

Application Process:

• Search and Apply
• Meet
• Join the Team

Sources

The following sources were used in researching this page:

• nvidia.com/en-us/benefits/interns/
• nvidia.com/en-us/about-nvidia/careers/university-recruiting/
• nvidia.com/en-us/about-nvidia/careers/how-we-hire/
• youtube.com/@NVIDIA