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Marvell

Signal Integrity Intern, MS – 2027 Co-Op

  • Seen live on Marvell's site today
  • Intern / co-op
Pay
$30 to $41 an hour CAD
Location
CA-ON - Toronto - TOR
Open for
17+ days
First seen
Oct 18, 2026
Apply on Marvell's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Marvell's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Marvell, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

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What it asks of you

Must be a current student
“Currently pursuing a master’s degree in electrical engineering, Electromagnetics, or a related field with an expected graduation date between Fall 2027 – Summer 2028” (quoted from the posting)

What the posting discloses

Pay
$30 to $41 an hour CAD
30 - 41, $ per hour. (quoted from the posting)
Real vacancy
Yes, an existing vacancy
This is an existing vacancy. (quoted from the posting)
AI screening
Uses AI to screen applicants
Marvell may employ artificial intelligence technologies to assist in the evaluation of job applications. (quoted from the posting)
Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

This is an existing vacancy.

Your Team, Your Impact

The Central Engineering – AMS Signal Integrity (SI) Team is responsible for establishing and maintaining interconnect Signal Integrity (SI) and Power Integrity (PI) design rules for Marvell's AMS IPs. Day-to-day work includes floorplan and bump assignment studies, Redistribution Layer (RDL) design, interposer and package routing analysis, and PCB layout guidelines to ensure optimal system performance. The team collaborates closely with IP design, physical design, and package/PCB teams across the full product lifecycle by ensuring robust SI/PI solutions at every stage to meet the stringent performance demands of AI, cloud, and hyperscaler data center applications.

What You Can Expect

  • Develop Python or similar scripting tools to automate SI/PI simulation workflows and improve team efficiency and throughput
  • Build and maintain automated trace/via design rule models for floorplan, RDL, bump patterns, interposer, and package routing to ensure SI/PI compliance
  • Perform 2D/3D electromagnetic (EM) modeling and simulation using tools such as Ansys 3D Layout or Cadence Sigrity to characterize high-speed interconnects
  • Post-process SI/PI simulation results to extract key metrics, generate summary reports, and support design decision-making

What We're Looking For

  • Currently pursuing a master’s degree in electrical engineering, Electromagnetics, or a related field with an expected graduation date between Fall 2027 – Summer 2028
  • Basic background of Signal Integrity fundamentals, including transmission line theory, electromagnetic (EM), and microwave theory;
  • Understand analog circuit and digital circuit basics;
  • Proficiency in scripting languages such as Python or MATLAB for automation and data processing;
  • A team player with strong oral and written communication skills and the ability to work effectively in a cross-functional environment

Preferred Qualifications (PQ)

  • Experience with SPICE simulation tools for circuit-level signal and power integrity analysis

Expected Base Pay Range (CAD)

30 - 41, $ per hour.

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

Marvell may employ artificial intelligence technologies to assist in the evaluation of job applications. All application reviews include meaningful human involvement, and no hiring decisions are made solely on the basis of automated processing.

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