Principal Product Engineer – AI Cloud & Data Center

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 Networking 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 for NPI and productization. You are not simply assigned products to manage. You own them, providing technical judgment, influence, and leadership 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

• 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

• 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.


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.