Masters Digital Signal Processing Engineer Intern

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$83,200–$124,800 / yr
Employment
Intern
Posted
8 days ago
Freshness
Confirmed live yesterday
Closes
Sep 24, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k
This role $104k
$68k most similar roles pay here $230k

This role pays less than 77% of similar roles. Most pay $114,225–$214,000 — the shaded band above. At the midpoint, this role pays about $104k 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 474 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 474 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Masters Digital Signal Processing Engineer Intern

As a Summer 2027 Masters Digital Signal Processing Engineer Intern, you will join the DFE Technology team to develop high-performance and low-cost digital front end radio designs for 5G/6G terrestrial and NTN applications. Working with unique RFSoC and Versal products, you will influence future device architectures by collaborating with experienced team members on critical projects. Your daily responsibilities include performing Tx/Rx RF modeling in MATLAB to address RF amplifier non-linear responses using adaptive algorithms such as LS, LMS, RLS, and Gradient Descent, alongside advanced machine learning techniques. You will also explore various advanced adaptive approaches for closed loop linearity improvements. The role requires expertise in digital signal processing, wireless communications, non-linear system analysis, and neural networks including RNN and LSTM architectures to solve complex problems within the 5G/6G telecommunications domain.

What you'll do

  • Perform Tx/Rx RF modeling in MATLAB for RF Amplifier non-linear responses.
  • Implement adaptive algorithms including LS, LMS, RLS, and Gradient Descent.
  • Integrate advanced machine learning algorithms into RF modeling processes.
  • Explore advanced adaptive approaches to improve closed-loop linearity.
  • Develop high-performance and low-cost digital front end (DFE) Radio designs for 5G/6G applications.
  • Support the development of products using AMD’s unique RFSoC and Versal architectures.
  • Influence future device architectures through technical contributions to the DFE team.

What we're looking for

  • Completed coursework in Electromagnetic Theory, Matrix Theory, Digital Signal Processing, and Digital Communications.
  • Completed coursework in machine learning and various neural networks.
  • Background in non-linear system analysis.
  • Background in RNN, LSTM, and other advanced long memory networks.
  • Background in Wireless Communications.
  • MS Candidate with a Wired/Wireless Communications background.

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