Senior Principal Product Engineer

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

You will join Marvell’s AI Connectivity Group, a world-class organization developing the next generation of cloud and AI datacenter connectivity solutions. Our technologies enable ultra-high-bandwidth communication within and between AI clusters, supporting the explosive growth of generative AI, machine learning, and accelerated computing workloads.
Marvell’s leadership in Storage controllers and cloud connectivity solutions enables customers to move data inside and across datacenters faster, more efficiently, and more reliably. Our PAM4 DSP technologies power 200G, 400G, 800G, and emerging next-generation data rates within datacenters, while our Coherent DSP technologies enable high-capacity interconnects between datacenters across the globe.
We are trusted partners to the world’s largest cloud hyperscalers and AI infrastructure providers, helping shape the future of optical networking, silicon photonics, and high-performance connectivity.

What You Can Expect

As a Sr. Principal Product Engineer, you will play a critical leadership role in bringing cutting-edge semiconductor products from first silicon to high-volume production. You will drive productization strategy across multiple advanced-node programs and help deliver the connectivity foundation powering the AI era.

This is a highly visible role with broad influence across engineering, operations, and executive leadership. You will collaborate globally with design, test, reliability, manufacturing, and supply chain organizations to ensure successful product ramps at scale.

In this role, you will:

• Lead New Product Introduction (NPI) activities for advanced datacenter connectivity and AI infrastructure products from silicon bring-up through production release.
• Drive end-to-end product engineering execution across wafer sort, package test, characterization, qualification, and manufacturing ramp.
• Provide technical leadership across multiple concurrent NPI programs while mentoring and guiding global product engineering teams.
• Develop and optimize test methodologies, DFT validation strategies, and characterization plans for complex high-speed mixed-signal devices.
• Own yield analysis, correlation, and root cause investigations across wafer sort, final test, and system-level validation.
• Partner closely with design engineering to resolve silicon issues and accelerate product maturity.
• Lead cross-functional reviews and executive-level program discussions to ensure schedule, quality, and cost objectives are achieved.
• Enable rapid delivery of engineering samples supporting early customer engagement and hyperscaler qualification activities.
• Collaborate with operations and supply chain teams to scale manufacturing capacity, improve efficiency, and qualify alternate sources.
• Drive continuous improvement initiatives in test infrastructure, data analytics, automation, and product engineering methodologies.

What You Can Expect

At Marvell, you’ll work on technologies that directly influence the future of AI, cloud computing, and next-generation networking.

You can expect:

Industry-Leading Technology

Work at the forefront of AI connectivity, optical networking, high-speed SerDes, and advanced semiconductor product development.

Massive Scale and Complexity

Develop products deployed across the world’s largest hyperscale datacenters supporting next-generation AI training and inference infrastructure.

High Visibility and Ownership

Lead strategic programs with broad organizational impact and collaborate directly with senior engineering and business leaders.

Exceptional Engineering Culture

Join a team that values deep technical expertise, innovation, collaboration, and continuous learning.

Career Growth and Influence

Shape product engineering strategy, mentor future technical leaders, and influence the roadmap of critical infrastructure technologies.

A Collaborative Onsite Environment

This role is based onsite in Santa Clara, CA, five days per week. Our in-person environment enables rapid innovation, deeper technical collaboration, faster decision-making, and strong partnership across teams.

What We're Looking For

We are seeking a highly experienced semiconductor product engineering leader with a passion for solving complex technical challenges and driving execution at scale.

Minimum Qualifications

• M.S. or Ph.D. in Electrical Engineering, Electronics Engineering, or a related technical field.
• 15+ years of semiconductor industry experience with deep expertise in product engineering and end-to-end NPI execution.
• Proven success leading complex semiconductor products from first silicon through high-volume manufacturing.
• Strong expertise in advanced process technologies (10nm and below).
• Hands-on experience with silicon bring-up, characterization, yield optimization, and production ramp.
• Deep understanding of device physics, test methodologies, and semiconductor manufacturing flows.
• Experience with ATE platforms such as Advantest V93K and/or Teradyne UltraFlex.
• Strong knowledge of statistical analysis and quality methodologies including GR&R, Cp, and Cpk.
• Demonstrated leadership across global cross-functional organizations and matrixed teams.
• Excellent communication, collaboration, and stakeholder management skills.

Preferred Qualifications

• Experience with high-speed networking, optical connectivity, SerDes, DSP, or datacenter infrastructure products.
• Expertise in high-volume manufacturing environments supporting hyperscale customers.
• Strong analytical and automation skills with experience leveraging data analytics to improve yield and operational efficiency.
• Passion for mentoring engineers and building high-performing technical teams.

Expected Base Pay Range (USD)

156,820 - 234,900, $ 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 [email protected].

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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