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
Play a critical leadership role in bringing cutting-edge semiconductor products from first silicon to high-volume production.
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.
Collaborate globally with design, test, reliability, manufacturing, and supply chain organizations to ensure successful product ramps at scale.
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.
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
Work on technologies that directly influence the future of AI, cloud computing, and next-generation networking.
Develop products deployed across the world’s largest hyperscale datacenters supporting next-generation AI training and inference infrastructure.
Lead strategic programs with broad organizational impact and collaborate directly with senior engineering and business leaders.
Join a team that values deep technical expertise, innovation, collaboration, and continuous learning.
Shape product engineering strategy, mentor future technical leaders, and influence the roadmap of critical infrastructure technologies.
Work in a collaborative onsite environment based in Santa Clara, CA, five days per week.
We're Looking For
A highly experienced semiconductor product engineering leader with a passion for solving complex technical challenges and driving execution at scale.
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.
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.