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Salary
≈ $32k – $59k per year (Estimated)
Location
In office (Markham)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 15, 2026. Marvell Technology scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Marvell Technology is an American fabless semiconductor company founded in 1995 that designs the infrastructure silicon behind data centres, carrier networks and storage systems. Its portfolio covers electro-optics and digital signal processors for optical links, ethernet switching and physical layer devices, storage controllers, and custom application specific integrated circuits designed for individual cloud operators. Headquartered in Santa Clara and listed on Nasdaq, it reoriented itself over the past decade from consumer and storage chips toward data centre and artificial intelligence infrastructure, which now supplies the majority of its revenue.

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

Our team is focused on Advanced Technologies within Central Engineering organization, providing the most advanced and key IPs to all businesses within Marvell. Our team makes an outsized impact not only for the organization but also to the technological arc of innovation for future generations of Marvell's high-speed wireline and optical products.

What You Can Expect

As our DSP & Systems Intern, you will work on systems-level problems that sit at the boundary of research and production - where the algorithms and architectures you develop have direct consequences for how AI infrastructure performs at scale. Specifically, you can expect to:

  • Architect, model, and evaluate system-level designs for electrical/optical interconnects - developing analytical models and simulations that inform real silicon architecture decisions

  • Develop and optimize DSP algorithms for high-speed electrical or optical links, including equalization adaptation, calibration, timing recovery, and signal integrity techniques for both electrical and optical links

  • Collaborate with analog, digital, photonics, and firmware engineering teams to validate architectural assumptions against real hardware and silicon measurements

  • Build behavioral models and simulations in MATLAB or Python to evaluate performance tradeoffs

  • Present architectural proposals and algorithm results to engineering leadership and contribute to internal technical documentation and design reviews

What We're Looking For

  • Currently enrolled in a Ph.D. Or M.Sc. program in Electrical Engineering or a related field, with research focused on optical/electrical interconnects, digital signal processing, or communication systems.
  • Strong foundation in signal processing, communication theory, control systems, optimization, or system architecture, with the ability to apply theoretical concepts to practical engineering problems.
  • Research or project experience in one or more of the following areas: high-speed communications, DSP algorithm development, optical communications, SerDes systems, signal integrity, equalization, clock and data recovery, or system-level architecture.
  • Experience developing models and simulations using MATLAB, Python, C/C++, or similar tools to evaluate complex system behavior and performance tradeoffs.
  • Self-motivated, curious, and able to work effectively in a collaborative environment spanning DSP, analog, digital, photonics, firmware, and systems engineering disciplines.

Expected Base Pay Range (CAD)

45 - 61, $ 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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