Staff Interop Validation Engineer – AI Data Center Interconnect

Job Title

Staff Interop Validation Engineer – AI Data Center Interconnect

Role Summary

Lead validation and interoperability testing for optical modules and PAM4 DSPs used in AI data center interconnects. Work with cross-functional engineering teams to design and execute qualification plans, automate test flows, and produce actionable status reporting.

Primary focus areas include hardware/software feature evaluation, vendor interoperability, test automation, and lab data analysis to accelerate qualification across vendors and switch platforms.

Experience Level

Senior-level (Staff). Typical experience: Bachelor's + 3–5 years or Master's/PhD + 2–3 years in relevant roles.

Responsibilities

Core responsibilities include hands-on validation, automation, and cross-vendor interoperability work.

• Evaluate DSP hardware and software features and define implementation and test plans.
• Collaborate with module and switch vendors to develop and execute optical module and DSP qualification plans.
• Develop and maintain automated test scripts and end-to-end automation for validation and characterization.
• Qualify optical modules from multiple vendors across different switch platforms.
• Build engineering dashboards and status reports tracking qualification progress and key performance metrics.
• Analyze lab data, run statistical checks, and produce concise engineering reports.
• Apply and benchmark language models to assist lab data review and draft initial reports.

Requirements

Must-have technical skills and constraints; nice-to-have items listed separately.

• Must-have: 2+ years experience with transceivers and relevant IEEE standards.
• Must-have: 2+ years developing test scripts for validation and characterization.
• Must-have: 1+ years working with networking protocols and related technologies.
• Must-have: Proficiency in test automation and Python scripting for lab workflows and data analysis.
• Must-have: Experience with lab qualification processes, building dashboards, and vendor collaboration.
• Must-have: Eligibility to access export-controlled technology and data as required by U.S. export control regulations.
• Nice-to-have: Hands-on experience with PAM4 DSPs, optical module characterization, and switch interoperability testing.
• Nice-to-have: Experience using machine learning or language models to accelerate test-data review and reporting.
• Reasonable accommodation contact: Marvell HR Helpdesk at TAOps@marvell.com.

Education Requirements

Bachelor's degree in Computer Science, Electrical Engineering, or related field with 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 related experience (as stated in the posting).

About the Company

Company: Marvell Technology

Headquarters: Santa Clara, California, United States

Marvell’s semiconductor solutions serve as essential building blocks of the data infrastructure connecting our world, driving innovation across enterprise, cloud, AI, and carrier architectures. The company focuses on creating transformative technology that shapes the future.