PhD AI Engineering Intern

Amd

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CA
Salary: $91,520–$137,280 / yr
Employment: Intern
Posted: 8 days ago
Freshness: Confirmed live yesterday
Closes: Sep 23, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $165k

This role $114k

$77k most similar roles pay here $231k

This role pays less than 72% of similar roles. Most pay $114,400–$216,312 — the shaded band above. At the midpoint, this role pays about $114k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 374 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 374 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · PhD AI Engineering Intern

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The Summer 2027 PhD AI Engineering Intern will join the engineering team to support the development of AI-assisted workflows for engineering and compute optimization tasks. The role involves building and evaluating systems that generate, test, benchmark, and measure candidate improvements while developing tools that connect AI models with compilers, profilers, and benchmarking tools. The intern will also perform evaluation and validation focused on correctness, performance, and reliability, while analyzing experimental results to improve AI models and optimization approaches. Candidates must have a PhD in Computer Science, Computer Engineering, Electrical Engineering, or Artificial Intelligence. Required skills include Python programming, experience with PyTorch or similar machine learning frameworks, and knowledge of computer systems. The work focuses on the technical challenges of AI-assisted software and hardware optimization, specifically involving LLMs, AI agents, and performance reproducibility.

Skills

Python PyTorch Artificial Intelligence LLMs Machine Learning Compiler Benchmarking Hardware Optimization AI Agents Computer Systems Experiment Tracking

What you'll do

Develop AI-assisted workflows for engineering and compute optimization tasks.
Build and evaluate systems to generate, test, benchmark, and measure candidate improvements.
Create tools connecting AI models with compilers, profilers, and benchmarking tools.
Perform evaluation and validation efforts focused on correctness, performance, and reliability.
Analyze experimental results to identify opportunities for improving AI models and optimization approaches.
Track experiments and ensure reproducibility across various AI engineering projects.
Document technical work, experimental results, and key learnings from projects.

What we're looking for

Must be currently enrolled in a PhD program in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related field.
Experience with Python programming.
Coursework or hands-on experience in artificial intelligence or computer systems.
Familiarity with PyTorch or similar machine learning frameworks.
Interest in AI agents, optimization, LLMs, or AI-assisted software development (preferred).
Strong analytical, problem-solving, and communication skills.