PhD Research Engineering Intern/Co-op

Amd

Confirmed live yesterday Trusted

Hybrid

Quick summary

Work type: Hybrid
Location: San Jose, CASanta Clara, CA
Salary: $91,520–$137,280 / yr
Employment: Intern
Posted: 21 days ago
Freshness: Confirmed live yesterday
Closes: Aug 20, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k

This role $114k

$75k most similar roles pay here $244k

This role pays less than 70% of similar roles. Most pay $104,000–$227,500 — the shaded band above. At the midpoint, this role pays about $114k versus about $166k 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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

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At a glance

TL;DR · PhD Research Engineering Intern/Co-op

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The 2027 PhD Research Engineering Intern/Co-op joins the AMD Research team, an entrepreneurial organization focused on driving research innovations into products. In this role, you will invent hardware and software technologies for next-generation computing platforms while contributing to product roadmaps to improve performance and efficiency. The work involves solving complex problems in computing systems, networking, hardware/software co-design, machine learning, distributed systems, data center networking, and high-performance computing. Candidates should possess skills in C/C++, Verilog HDL, Python, P4, /C++, Java, MATLAB, or Go. Relevant experience includes FPGA or ASIC-based RTL design and verification, FPGA deployment, programmable data planes, and machine learning training on GPUs using frameworks like PyTorch or TensorFlow. This position focuses on the technical challenges of developing advanced computing infrastructure and accelerating cloud applications through innovative engineering.

Skills

C/C++ Verilog HDL Python P4 PyTorch TensorFlow Machine Learning FPGA ASIC RTL Design Distributed Systems High Performance Computing Data Center Networking Go Java MATLAB Hardware/Software Co-design

What you'll do

Invent hardware and software technologies for next-generation computing platforms.
Contribute to research innovations that directly impact product roadmaps.
Develop products to improve overall performance and efficiency.
Design and verify FPGA or ASIC-based RTL designs.
Implement FPGA deployment, programming, and acceleration of cloud applications.
Execute machine learning training on GPUs using frameworks like PyTorch or TensorFlow.
Work on distributed systems, data center networking, and high-performance computing.

What we're looking for

Must be currently enrolled in a PhD program at a US-based university.
Major must be in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Knowledge or experience with C/C++, Verilog HDL, Python, P4, ML frameworks, /C++, Java, MATLAB, or Go (preferred).
Research experience and publications in computing systems, networking, hardware/software co-design, or machine learning (preferred).
Experience with FPGA or ASIC-based RTL design, verification, deployment, programming, or cloud application acceleration (preferred).
Knowledge of programmable data planes or machine learning training on GPUs (preferred).
Experience with distributed systems, data center networking, high performance computing, or distributed machine learning training (preferred).
Familiarity with ML frameworks such as PyTorch and/or TensorFlow (preferred).

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