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 Cloud Optics organization develops optical connectivity solutions that help enable the performance, scale, and efficiency required in modern cloud and AI data centers. The group’s portfolio supports high-bandwidth optical interconnects used inside data centers, across campus environments, and between data center locations, with technologies spanning optical DSPs, coherent-lite DSPs, Co-Packaged Optical engines, and DCI optical modules. These products are designed to address the growing need for higher throughput, lower power, longer reach, and improved operational efficiency as cloud and AI infrastructure continues to scale.

As part of this team, you will help support product execution across a portfolio of optical solutions for data centers by translating supply, material, and readiness data into actionable insights. This role will work closely with program management, engineering, product, planning, and operations teams to monitor material availability, analyze inventory positions, identify supply and operational risks, and improve launch readiness for complex optical products. The ideal candidate is comfortable operating in a fast-moving, cross-functional environment and brings strong analytical skills, attention to detail, and the ability to drive clarity across schedules, materials, and operational priorities.

What You Can Expect

NPI Material & Pipeline Management

Track engineering inventory from mfg to team disposition and internal allocation and movement/re-allocation.
Early development IC component tracking/buying for early-stage testing and product development
Develop scenarios/demand planning for different production volumes and coordinating with Supply team for order placement and tracking
Track and communicate material delivery schedules, ensuring teams are aware of dates, delays, and dependencies to other builds, programs, or milestones.
Manage sample allocation to internal validation engineering teams and strategic alpha customers.
Coordinate material handoffs between R&D, product engineering, and mass production teams.

Agile Operations & Program Launch

Map NPI milestones directly into Jira user stories and epics to track launch readiness.
Update internal launch tools with real-time status updates on first-silicon and qualification hardware.
Lead retrospective sessions post-launch to optimize the time-to-market cycle for future chip spin-offs.

Analytics, Data & Readiness Tracking

Monitor pre-production yields to flag supply risks before full production ramp-up.
Reconcile engineering WIP data between external partner reports and internal tracking software.
Model ramp-up inventory requirements to smoothly transition ownership to the mass-production team.
Forecast NPI material costs and track variances against the program's development budget.

What We're Looking For

Education & Experience

Bachelor’s degree in Electrical/Industrial Engineering, Supply Chain, or Data Analytics.
3–5 years of analyst experience, with a heavy focus on NPI or product launch phases.
Inventory planning/tracking understanding how to track physical inventory and modeling / scenario development for future build needs
Fabless semiconductor experience understanding external foundry and assembly validation cycles and dependencies.
Strong understanding of silicon lifecycles (tape-out, first silicon, qualification, mass production).

Technical Skills

Agile collaboration software including Jira, Confluence, or similar issue-tracking tools.
Data analysis applications including advanced Excel (modeling), SQL, and Tableau or PowerBI.
Product Data Management (PDM) or PLM software used to track BOMs and part numbers.

Soft Skills

High-velocity problem solving to navigate changing tape-out schedules and test failures.
Cross-functional diplomacy to balance the competing timelines of R&D, sales, and operations.
Meticulous attention to detail to ensure early-stage silicon is accurately tracked and labeled.

Expected Base Pay Range (USD)

98,970 - 148,300, $ 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.

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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Program Inventory Ops/Analyst