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IC Validation Engineer Intern - BS/MS - 2027 Co-Op

@ Marvell Semiconductor Canada Inc. (MSCI)

Ottawa, Ontario

Full-time
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Overview

Marvell Semiconductor Canada Inc. (MSCI) is hiring a full-time IC Validation Engineer Intern for an 8 to 12 month co-op in Kanata, Ontario. The intern measures transmitter and receiver performance of high-speed DSP chips, tests digital and analog features, and runs Python automation. Pay is $30 to $41 per hour, on-site full time.

Responsibilities:

  • Measure transmitter and receiver performance of DSP chips
  • Test digital and analog features of the product
  • Assemble test stations
  • Run and edit Python automation tools
  • Assist with data collection and presenting results

Requirements summary:

  • Currently pursuing a BS or MS in CS, EE or related field
  • Strong Python programming skills
  • Understanding of HW and SW fundamentals, digital communication and DSP
  • Available for an 8 to 12 month term, full time on-site in Kanata
  • Preferred: 2+ years of related course work and automation experience

Tools & skills

Source and dates

Employer career site / ATS feed · workday

Employer posting date
2026-09-30
First seen by our source
2026-10-08
Source record updated
2026-11-05

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityEntry level
DepartmentQuality assurance
Hours per week40 (estimated)
Travelair: none · ground: none
Work settingLaboratory
PositionSitting and standing
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required), Master’s degree (required)
Fields of studyComputer science, Electrical engineering

Summary and details written by AI from the posting; the employer’s posting is the authority.

Marvell Semiconductor Canada Inc. (MSCI)

FieldValue
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Job description

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

Validation Engineers are involved in initial lab silicon bring-up to field deployment, measuring transmitter and receiver performance of Marvell’s high speed mixed signal DSP chips, testing digital and analog features, assembling test stations, running & editing automation tools in Python. In collaboration with our engineering team, you will integrate, test and develop mission critical code to control, monitor and test our chips. The candidate will be mentored by senior validation engineers, assisting with data collection, and presenting the results of their work. Join us and get the opportunity to make a meaningful impact to the projects we work on while gaining first-hand experience in a high performing development team.

What You Can Expect

  • Measuring transmitter and receiver performance
  • Testing digital and analog features of the product
  • Assembling test stations
  • Running & editing automation tools in Python
  • Collaborate with Software team to integrate, test and develop mission critical code to control, monitor, and test Silicon.
  • Assist Validation Engineers with data collection, and presenting the results of their work

What We're Looking For

  • Currently pursuing a BS/MS degree in CS/EE or related technical field(s)
  • Excellent Design and Development experience, with good verbal and written communication skills.
  • Strong Programming Skills in Python, with good problem-solving skills.
  • Understanding the HW and SW fundamentals, digital communication and Digital Signal Processing.
  • Available for an 8 - 12 month term
  • Full time on-site availability in Kanata, Ontario

Preferred Requirements:

  • 2+ years of related course work
  • Experience with automation

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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