PhD Data Center Networking Engineer Intern/Co-Op

Amd

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: San Jose, CASanta Clara, CA
Salary: $91,520–$137,280 / yr
Employment: Intern
Posted: 4 days ago
Freshness: Confirmed live today
Closes: Sep 16, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k

This role $114k

$77k most similar roles pay here $229k

This role pays less than 73% of similar roles. Most pay $114,400–$214,000 — the shaded band above. At the midpoint, this role pays about $114k versus about $164k 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 391 open roles on FindRole.

Listed pay typically runs $164,080–$246,120 across 391 roles with salary data.

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At a glance

TL;DR · PhD Data Center Networking Engineer Intern/Co-Op

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The 2027 PhD Data Center Networking Engineer Intern/Co-Op joins the engineering team to focus on data center and AI networking technologies. In this role, you will analyze AI/ML workloads, collective communication patterns, and cloud networking use cases to develop realistic network traffic models. You will design and simulate networking algorithms and architectural models for large-scale cloud and AI/ML infrastructure networks while identifying architecture, functionality, and performance challenges through simulation and modeling. The work involves evaluating performance versus complexity tradeoffs to find solutions for future products. Required skills include a background in ns-3 or OMNeT++ simulation frameworks, knowledge of networking architecture and algorithm design, and experience with P4 programming and programmable networking concepts. Additional preferred skills include proficiency with GitHub, source code control systems, debuggers, and performance profilers.

Skills

ns-3 OMNeT++ P4 Data Center Networking AI/ML Networking Network Simulation GitHub Source Code Control Algorithm Design Cloud Networking Networking Architecture System Testing Product Validation

What you'll do

Develop realistic network traffic models based on AI/ML workloads and cloud networking use cases.
Design and simulate networking algorithms and architectural models for large-scale infrastructure networks.
Identify architecture, functionality, and performance challenges through simulation, analysis, and modeling.
Evaluate performance versus complexity tradeoffs to determine viable solutions for future products.
Gain hands-on experience with data center and AI networking technologies under engineer mentorship.

What we're looking for

Must be currently enrolled at a U.S.-based university pursuing a Ph.D. or advanced M.S. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Strong background in network simulation frameworks such as ns-3 or OMNeT++.
Knowledge of networking architecture and algorithm design.
Experience with P4 programming and programmable networking concepts.
Interest in data center, cloud, or AI/ML networking technologies.
Experience with software development tools and workflows, including debuggers, GitHub, source code control systems, and performance profilers (preferred).
Familiarity with networking product validation or system testing (preferred).

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