Principal Product Engineer - AI Cloud & Data Center; Platform Transformation Lead

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 Network and Compute Product Engineering organization at Marvell serves as a core technical leadership function during product development and NPI. The team operates across multiple business units and works closely with design engineering, operations, program management, quality, and leadership to guide technologies from early development into production ready silicon.

Product Engineering is responsible for ensuring technical rigor, manufacturability, and readiness for customer deployment. The function exists to connect architecture, silicon behavior, manufacturing reality, and business constraints, and to drive teams toward the technical decisions required for successful productization.

The organization plays a key role in enabling next-generation compute and AI-driven infrastructure, supporting products deployed at scale across hyperscale data centers and emerging AI workloads.

What You Can Expect

As a Principal Product Engineer within the Networking and Compute organization, you are recognized as a technical leader and key stakeholder at the intersection of product engineering and next‑generation test strategy. The rapid evolution of AI infrastructure is driving XPU and hyperscale products into unprecedented performance, volume, complexity regimes, and the methodologies used to validate and qualify them must evolve in kind. In this role, you will help lead that evolution, shaping how Marvell approaches test and productization for its most strategically critical product lines. You are not simply assigned products to manage - you own them; and with them, the technical judgment, influence, and leadership to drive meaningful change across the full end‑to‑end lifecycle.

In this role, you will...

Drive technical leadership from development through production, ensuring decisions support robust, scalable productization

Serve as a primary technical stakeholder during NPI, guiding teams through characterization, debug, qualification, and readiness discussions

Align and influence cross‑functional engineering teams toward technically sound, full‑closure solutions during complex problem‑solving efforts

Establish and defend test tier architecture across wafer sort, ATE, and SLT, making data‑driven tradeoff decisions that balance coverage, escape risk, quality, and cost‑of‑test

Lead ATE‑to‑SLT correlation efforts and drive structured escape analysis, translating yield and quality signals across test tiers into actionable product and process improvements

Evaluate, champion, and help scale emerging SLT technologies, including high‑throughput, parallelized test platforms to improve test economics and manufacturing scalability

Align and influence cross‑functional engineering teams toward technically sound, full‑closure solutions during complex problem‑solving efforts

Define, quantify, and defend product quality, reliability, performance, and cost targets based on data and system‑level impact

Lead technical risk assessments and tradeoff discussions, driving clarity and direction across engineering, operations, and management

Represent Product Engineering in customer interactions and internal leadership forums, clearly articulating status, risk, and recommended paths forward

What We're Looking For

Expertise in System Level Test platforms and validation work is a must; hands‑on experience with SLT board design, DUT fixturing, and socket qualification is strongly preferred

Deep understanding of test tier architecture across wafer sort, ATE, and SLT, with the ability to make principled tradeoff decisions on coverage, escape risk, and cost‑of‑test

Demonstrated experience driving ATE‑to‑SLT correlation, yield learning, and escape containment across test tiers in a volume manufacturing environment

Familiarity with emerging high‑throughput SLT methodologies - including parallelization strategies, handler and thermal system constraints, and scalable test content development

Deep understanding of the end‑to‑end product lifecycle, with the ability to drive technical decisions that enable scalable productization

Strong expertise in structured problem solving and Root Cause Analysis across silicon, test, and manufacturing environments

Proven ability to translate complex technical data and analytics into clear, executive‑level narratives and recommendations

Hands‑on experience using ATE for silicon characterization, analysis, and debug; experience with 93K is strongly preferred

Solid foundation in applied statistics for product characterization, yield improvement, and quality analysis

Working knowledge of data analytics and visualization tools such as JMP and SiliconDash or equivalent platforms

Strong planning and prioritization skills across multiple parallel efforts; interest in process automation and workflow optimization is a plus

Education and Experience

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 10+ years of relevant industry experience, preferably in semiconductors

OR

Master’s degree and/or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 5+ years of relevant industry experience, preferably in semiconductors

Expected Base Pay Range (USD)

136,880 - 205,000, $ 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.

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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