Staff Interop Validation Engineer – AI Data Center Interconnect
Marvell Technology
Santa Clara, CA · Posted October 23, 2026
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AI use among industrial engineers is little observed so far. Measured exposure for industrial engineers: 4% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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 ever-growing demand for higher bandwidth, lower power, and smaller footprint driven by AI, cloud services, video streaming megatrends requires advanced solutions. Marvell's field-proven PAM4 DSPs offer an ideal solution for high-speed optical interconnects in cloud data centers and carrier networks.
What You Can Expect
Evaluate hardware and software features from DSP and come up with implementation plans for qualify/test.
Collaborate with vendors/manufacturers in defining and developing test plans for Optical Modules and DSP chips.
Automate optical test plans and qualify optical modules from different vendors with different switches.
Engineering dashboards and status reporting: Build dashboards and regular status reports that track optical module and DSP qualification progress, interop lab readiness, and key performance metrics across vendors and switch platforms. These give engineering and manufacturing teams a clear, current view of where each qualification stands.
Adapt and benchmark open-weight language models to speed up lab data review. Use them to pull answers from specs and past test records, make sense of electrical and optical measurements, sort failures by likely cause, and produce first-draft reports for engineers to refine.
Build end-to-end automation that gathers specs and prior test records, reviews lab logs, and runs Python scripts and statistical checks on each result set.
What We're Looking For
Bachelor's degree in Computer Science, Electrical Engineering or related fields and 3-5 years of related professional experience, OR Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 2-3 years of experience.
2+ years of experience with transceivers and IEEE standards.
2+ years of experience developing test scripts for validation and characterization.
1+ years of experience working with networking protocols and technologies.
Expected Base Pay Range (USD) 111,070 - 166,400, $ per annum
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.
This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success.
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 include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. 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.
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.
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