Product Engineer

Reposted 11 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
66K-99K Annually
Entry level
Artificial Intelligence • Automotive • Semiconductor
We create custom semiconductor solutions that move, process, store, and secure data quickly and reliably.
The Role
The Product Engineer role involves supporting new product introduction, collaborating across teams, assisting in product characterization, and analyzing production data in a semiconductor environment.
Summary Generated by Built In

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

Marvell is a leader in data infrastructure solutions that enable faster, more reliable data movement across cloud and data center environments. Our cutting-edge PAM4 DSP technology supports 200G, 400G, and 800G intra–data center connectivity, while our Coherent DSP solutions enable 100G and 400G inter–data center communications. Marvell partners closely with the world’s leading cloud hyperscalers to drive innovation from copper PHY to optical solutions.

What You Can Expect

As an Entry-Level Product Engineer within Marvell’s Product Engineering organization, you will be part of the AI Connectivity group, working on high-speed data center products. This role offers hands-on exposure to semiconductor product engineering and close collaboration with experienced engineers across the U.S. and APAC. It is an ideal opportunity for recent graduates looking to build a strong foundation in semiconductor product development and manufacturing.

  • Support New Product Introduction (NPI) activities, including silicon bring-up, validation of new features, and enhancement of existing products.
  • Collaborate cross-functionally with design, product, test, foundry, and reliability engineering teams throughout the NPI lifecycle.
  • Assist with product characterization during engineering sample phases.
  • Monitor early-life yield, identify systematic issues, and support root-cause investigations during product ramp.
  • Help ensure a smooth transition from development to high-volume manufacturing (HVM).
  • Perform basic data mining and statistical analysis of wafer sort and final test data under guidance.
  • Participate in functional testing and reliability assessments to ensure product quality and robustness.
  • Support test engineering teams in resolving test program and coverage issues.
  • Assist in coordinating engineering sample builds for early customer engagement.
  • Contribute to continuous improvement initiatives focused on cost reduction, cycle time improvement, yield enhancement, and product performance.
  • Learn and support production capacity improvements post-release, including test time reduction, yield optimization, and alternate sourcing.
  • Communicate technical findings clearly and effectively across cross-functional teams.
  • Engage with external test subcontractors during early production phases under mentorship.

What We're Looking For

  • B.S. in Electrical Engineering, Electronics Engineering, or a related field (M.S. preferred).
  • 0–2 years of experience in the semiconductor industry (internships, co-ops, or academic projects encouraged).
  • Solid understanding of semiconductor fundamentals, including device physics, manufacturing processes, and test concepts; exposure to advanced technology nodes (7nm and below) is a plus.
  • Familiarity with yield analysis, quality and statistical tools (e.g., GR&R, Cp, Cpk) through coursework or project experience.
  • Exposure to Automated Test Equipment (ATE) such as Advantest 93K, Teradyne UltraFlex, or test handlers/probers is a plus.
  • Strong analytical and problem-solving skills, including data interpretation and root-cause analysis; willingness to learn test development and debug methodologies.
  • Experience with data analysis tools such as Python, MATLAB, JMP, or Excel is a plus.
  • Self-motivated, eager to learn, and able to collaborate effectively with senior engineers.
  • Ability to work in a fast-paced, cross-functional environment.
  • Strong written and verbal communication skills in English.

Expected Base Pay Range (USD)

66,040 - 98,900, $ 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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Top Skills

Advantest 93K
Excel
Jmp
Matlab
Python
Teradyne Ultraflex
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The Company
HQ: Santa Clara, CA
6,500 Employees
Year Founded: 1995

What We Do

Marvell specializes in semiconductor solutions that power a wide range of industries, from data centers and 5G networks to AI, automotive, and storage applications. Our cutting-edge products are designed to meet the constantly evolving demands of a connected world, enabling faster, more efficient and more secure data processing and communication. With a focus on excellence and a commitment to advancing technology, we develop solutions that drive progress and transform industries.

Why Work With Us

Life at Marvell means being a part of new innovation and enduring technology; but it's also much more. Our diverse community is strengthened through cultural events, corporate gatherings and team-building activities, fostering collaboration and making work enjoyable. At Marvell, it's not just a job; it's an enriching, community-driven experience.

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