GPU AI Compute Architect - Intern

Job Details:

Job Description: 

We are an AI architecture team that leverages insights from AI workloads to inform future Intel hardware design decisions. Our work involves: 1. Studying emerging AI workloads, including LLM and multimodality GAI 2. Developing an internal performance analysis tool (e.g., ArchBench), including adding hardware architecture features and support for new AI workloads. 3. Generating and analyzing performance data to inform architecture decisions, including calibrating performance projections with real silicon or simulators, and producing high-quality performance projections. We are seeking highly motivated candidates who are eager to learn about AI hardware, possess strong collaboration skills, and can adapt to a fast-paced software development environment. As an intern, you may be responsible for tasks such as: 1. Generating and analyzing performance data of emerging AI workloads, such as multimodality generative AI. 2. Co-developing a module of an internal performance analysis tool or improving its accuracy. 3. Correlating simulation results with silicon measurements. 4. Evaluating GPU AI hardware architecture. 5. Providing guidelines for future software optimization, such as cache tiling.

Qualifications:

Minimum Qualifications: BS/MS in EECS, Mathematics, or related majors. Proficient in Python. Good data analysis and presentation skills. Preferred Qualifications: Knowledge of AI and deep learning, such as Large Language Models (LLM), Stable Diffusion, or multimodality generative AI. Experience with performance analysis tools/simulators. Experience with workload characterization. Experience with performance projection. Strong knowledge of computer architecture. Familiarity with PyTorch.

          

Job Type:

Student / Intern

Shift:

Shift 1 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

Legal Disclaimer:

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