PhD Applied AI Engineer Intern - Build AI Tools

Advanced Micro Devices, Inc.; Santa Clara (CA); Hybrid; USD 34,000 - 55,000; Full time

Benefits offered by this job

AMD benefits at a glance

Job summary

Advanced Micro Devices, Inc. (AMD) invites a PhD student to join our Applied AI Engineering internship in Santa Clara, CA. The role focuses on building AI-assisted workflows for hardware and software engineering and collaborating with researchers across teams.

You will develop tools that integrate LLMs with engineers' systems, set up benchmarking, and document results. This paid internship offers exposure to cutting-edge AI, with the possibility of contributing to real-world AMD projects.

Qualifications

• Must be enrolled in a PhD program in a related field.
• Strong Python programming experience.
• Coursework or hands-on experience in AI or computer systems.
• Familiarity with PyTorch or similar ML frameworks.
• Interest in AI-assisted software development and productivity tools.

Responsibilities

• Build and evaluate AI-assisted workflows for hardware and software engineering.
• Develop tools to integrate LLMs and AI agents with engineering systems.
• Support automation of engineering workflows with candidate generation and validation.
• Collaborate with engineers to define metrics for correctness and performance.
• Contribute to evaluation datasets, benchmarking, and experiment tracking.
• Improve prompts, retrieval systems, and tool interfaces.
• Analyze workflow performance and identify reliability and efficiency improvements.
• Document technical designs and experimental results.

Skills

Python

AI/ML

Engineering productivity

Education

PhD student in Computer Science/Computer Engineering/Electrical Engineering/AI

Tools

PyTorch

ML frameworks

Job description

Advanced Micro Devices, Inc. (AMD) invites a PhD student to join our Applied AI Engineering internship in Santa Clara, CA. The role focuses on building AI-assisted workflows for hardware and software engineering and collaborating with researchers across teams.

You will develop tools that integrate LLMs with engineers' systems, set up benchmarking, and document results. This paid internship offers exposure to cutting-edge AI, with the possibility of contributing to real-world AMD projects.