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Marvell

Ph.D. Intern - Silicon Photonics & Optical Communications

Santa Clara, CA · Irvine, CA · Austin, TX · Morrisville, NC · Westlake Village, CA · Chandler, AZ · Westborough, MA · Burlington, VT · Boise, ID

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hirly's read of this role

Seniority
Internship
Country
US
Work mode
On-site / unstated
First seen by hirly
13 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Your Team, Your Impact

The AI era runs on light. Every rack of XPUs training a frontier model, every hyperscaler connecting data centers across a metro region, every 1.6T optical module pushing data across a fiber at speeds that didn't exist three years ago — all of it depends on silicon photonics and optical DSP technology that Marvell designs. Marvell's optical team is one of the few places in the world where silicon photonics, coherent DSP, PAM4 signal processing, and co-packaged optics integration are all happening under one roof, at production scale, for the world's largest AI infrastructure operators.

The work spans every layer of the AI interconnect hierarchy. At the scale-up layer — connecting XPUs within a rack or cluster to behave as a single logical compute unit — the team is developing silicon photonics light engines for Co-Packaged Optics and Near-Packaged Optics platforms that eliminate the reach and power limitations of copper at the shortest distances. At the scale-out layer — connecting clusters of thousands of XPUs across rows and data center floors — the Ara 3nm PAM4 DSP platform drives 1.6T optical transceivers that set the standard for bandwidth density and power-per-bit efficiency across AI fabric networks. And at the scale-across layer — connecting geographically distributed data centers across metro and regional distances — the Orion 800G coherent DSP powers the COLORZ 800, the industry's first 800ZR/ZR+ pluggable coherent transceiver, carrying 800 Gbps up to 1000km over a single wavelength. These are not incremental improvements. They are fundamental rearchitectings of how data moves inside and between the world's most advanced AI infrastructure.

Marvell's Ph.D. Intern Program places doctoral candidates directly inside these active design and research efforts. Projects are selected because they sit at the intersection of Marvell's most pressing optical engineering challenges and the photonics, signal processing, and device physics that define doctoral research in this field. The work is the applied dimension of the academic research a Ph.D. candidate is already pursuing — conducted on production silicon, against real system specifications, for hyperscale customers who are counting on it. What you will take away is something no lab or simulation environment can replicate: the experience of seeing your research become working optical silicon, deployed at scale inside the world's most advanced AI infrastructure.

What You Can Expect

As our Ph.D. Silicon Photonics & Optical Communications Intern, every day you will work on problems at the intersection of photonics, high-speed signal processing, and advanced semiconductor integration. Specifically, you can expect to:

Design, simulate, and characterize silicon photonics components and subsystems — including modulators, photodetectors, waveguides, and optical engines — for integration into PAM4 and coherent transceiver platforms

Develop and validate DSP algorithms for high-speed optical links, including equalization, FEC, and signal integrity techniques for PAM4 and coherent modulation formats

Work on optical system modeling and link budget analysis for data center interconnect, co-packaged optics, and near-packaged optics applications

Collaborate with analog IC design, packaging, and systems engineering teams to bring photonic and electronic components together into integrated transceiver solutions

Characterize and validate designs in the lab — working with high-speed test equipment, optical measurement tools, and silicon bring-up setups

Participate in a structured design curriculum alongside your Ph.D. intern peers and present your research findings and design results to the engineering team

What We're Looking For

To thrive in this role, you must have hands-on research experience in photonics, optical communications, or high-speed signal processing — not just coursework familiarity. Specifically:

Currently enrolled in a Ph.D. program in Electrical Engineering, Applied Physics, or a related field, with a research focus in photonics, optical communications, or high-speed signal processing

Demonstrate research experience in one or more of the following: silicon photonics device design and simulation, optical transceiver systems, coherent or direct-detect optical communications, or DSP algorithm development for high-speed links

Apply strong fundamentals in photonics and electromagnetics — waveguide theory, modulator physics, photodetector design, or optical link analysis

Use simulation and modeling tools relevant to your research area (FDTD, MODE, Lumerical, MATLAB, or equivalent) with confidence and independence

Communicate research findings and design tradeoffs clearly — you will present your work to the engineering team and defend your approach

Preferred Qualifications

Experience with PAM4 or coherent modulation formats, FEC, or DSP equalization techniques for optical links

Familiarity with silicon photonics fabrication processes and design-for-manufacturing considerations in advanced CMOS-compatible platforms

Exposure to co-packaged optics, near-packaged optics, or optical engine integration for high-density interconnects

Lab experience with high-speed optical or electrical test and measurement equipment

Familiarity with analog IC design or mixed-signal circuits as they relate to optical transceiver front-ends (TIAs, laser drivers, modulators) is a strong plus

Expected Base Pay Range (USD)

37 - 73, $ per hour.

The successful candidate’s starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.



 Additional Compensation and Benefit Elements

Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life’s most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights for our interns: medical, dental, and vision coverage, perks and discounts, robust mental health resources to prioritize emotional well-being, and paid holidays. Additional compensation may be available for intern PhD candidates. We look forward to sharing more with you during the interview process.

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.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com .

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.

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Original posting on Marvell's site ↗

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