Marvell Technology

Principal Product Engineer - Networking & Connectivity

Marvell Technology$136K — $205K *
Telecommunications & Hardware
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in the semiconductor industry, Bachelor’s degree in related field; or Master's/PhD with 5+ years.
  • Deep understanding of the product lifecycle and scalability in productization.
  • Expertise in structured problem solving and Root Cause Analysis.
  • Ability to translate complex technical data into executive narratives.
  • Hands-on ATE experience for silicon characterization, with 93K experience preferred.
  • Foundation in applied statistics for quality analysis and yield improvement.
  • Knowledge of data analytics and visualization tools like JMP or SiliconDash.

Responsibilities

  • Drive technical leadership from development through production for scalable productization.
  • Serve as the primary technical stakeholder during NPI, guiding teams through critical phases.
  • Align cross-functional teams toward effective solutions during complex problem-solving.
  • Define and quantify product quality and performance targets based on data.
  • Lead risk assessments and drive clarity across engineering and operations.
  • Represent Product Engineering in customer interactions and internal forums, articulating status and risks.

Benefits

  • Employee stock purchase plan with a 2-year look back.
  • Family support programs to help balance work and home life.
  • Robust mental health resources for emotional well-being.
  • Recognition and service awards to celebrate employee contributions.
Full Job Description
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.

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.

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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About Marvell Technology

Marvell Technology is a semiconductor company that designs and develops analog, mixed-signal, and digital signal processing integrated circuits. The company's product portfolio includes processors, connectivity, storage, and security solutions. Marvell's customers operate in various industries, including data center, enterprise, automotive, industrial, and consumer electronics. The company was founded in 1995 and is headquartered in Santa Clara, California.
Learn more about Marvell Technology
Size
6,729 employees
Market Cap
$30.6 billion
Industry
Net Income
-$277.3 million
Founded
2013
5 Year Trend
+14.2%
Revenue
$2.9 billion
NASDAQ

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