Principal Product Engineer

Job Title

Principal Product Engineer

Role Summary

Lead technical product engineering activities for Networking and Compute silicon from development through NPI to production readiness. Act as a primary technical stakeholder across design, test, manufacturing, quality and program teams to ensure manufacturability, reliability, and customer readiness.

Base pay range: USD 136,880 - 205,000 per year. This role is eligible for bonus and equity grants.

Experience Level

Senior-level. Typical background: Bachelor's in Computer Science, Electrical Engineering, or related field with 10–15 years' relevant experience; or Master's/PhD with ~5–10 years' relevant experience.

Responsibilities

Drive product engineering decisions and coordinate cross-functional teams to achieve production-ready silicon and customer deployment.

• Provide technical leadership from development through production, including characterization, debug, qualification, and NPI activities.
• Lead root cause analysis and structured problem solving across silicon, test, and manufacturing domains.
• Define and defend product quality, reliability, performance, and cost targets using data and system-level analysis.
• Run technical risk assessments and trade-off discussions; recommend and drive closure on mitigation plans.
• Represent Product Engineering in customer and executive forums; communicate status, risks, and recommended approaches.
• Guide measurement, test and qualification strategies and coordinate with test/ATE teams during NPI.

Requirements

Key technical skills, experience, and eligibility for the role.

• Must-have: Deep understanding of the end-to-end product lifecycle and experience driving technical decisions for scalable productization.
• Must-have: Strong expertise in structured problem solving and root cause analysis across silicon, test, and manufacturing environments.
• Must-have: Hands-on experience with ATE for silicon characterization and debug; experience with 93K or Teradyne tester platforms is strongly preferred.
• Must-have: Solid foundation in applied statistics for product characterization, yield improvement, and quality analysis.
• Must-have: Ability to synthesize complex technical data into clear executive-level narratives and recommendations.
• Must-have: Working knowledge of data analytics and visualization tools (example: JMP, SiliconDash or equivalents).
• Preferred: Experience with process automation, workflow optimization, and cross-functional program leadership.
• Requirement: Candidates may be subject to U.S. export-control eligibility checks; export license review may be required for non-U.S. citizens and non-permanent residents.
• Reasonable accommodation contact: TAOps@marvell.com.

Education Requirements

Bachelor's degree in Computer Science, Electrical Engineering, or a related field with 10–15 years of relevant experience; OR Master's degree and/or PhD in Computer Science, Electrical Engineering, or related fields with ~5–10 years of relevant experience.

About the Company

Company: Marvell Technology

Headquarters: Santa Clara, California, United States

Marvell’s semiconductor solutions serve as essential building blocks of the data infrastructure connecting our world, driving innovation across enterprise, cloud, AI, and carrier architectures. The company focuses on creating transformative technology that shapes the future.