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.

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.

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

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

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
• 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

Additional Compensation And Benefit Elements

• 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
• A recognition and service awards to celebrate contributions and milestones

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.