Staff 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

Highly integrated, power efficient coherent DSP solutions
Marvell offers a portfolio of coherent DSPs that are critical enablers for efficient transmission over fiber optical networks. Marvell solutions are shipping into top major hyperscale and telecom networks worldwide, providing unmatched leadership in the design, test, and volume manufacturing of high-performance coherent DSPs.

What You Can Expect

As an engineer in the Product Engineering organization at Marvell, you will be part of a brilliant growing team of engineers that solves complex problems. In this role, you will be working with our design, product & test development team in US and in APAC; supporting new product introduction projects & activities to ensure smooth transition of these new products from development to manufacturing phase.

• Support new product introduction initial phase of silicon bring up working with NPI Product Engineering team in the US to validate new device features and test/DFT methodologies.
• Collaborate with NPI PE, Test, Foundry and Reliability Engineering teams to drive NPI development of highspeed datacenter products and their variants.
• Analyze yield at Engineering Sample phase and Characterize NPI product performances and manufacturing yield window including bench correlation to meet product cost targets.
• Perform data mining and statistical data analysis on wafer sort and final test parametric to support initial product assessment.
• Support product assessment report generation.
• Perform functional testing and analysis to ensure product operation and reliability.
• Support & resolve Test engineering & program related issues.
• Support volume Engineering sample supply for early customer engagement.
• Plan and coordinate (data analysis, debug, root-cause, implementing solutions) yield & test time improvement activities to meet the set mass production release goals.
• Provide customer return verification support including implement containment & preventive actions through CIPs.
• Execute and implement test productivity activities which include test time reduction, retest reduction, test insertion removal, higher parallelism.
• Identify and drive production capacity improvement needs via test time reduction, first pass retest rate reduction, qualifying alternate sources etc.
• Transfer product knowledge to sustaining HVM engineer Engage & manage Test Subcon in early production stage.

What We're Looking For

Bachelor’s degree in Computer Science, Electrical Engineering or related fields and 3-5 years of related professional experience. OR Master’s degree and/or PhD in Computer Science, Electrical Engineering or related fields with 2-3 years of experience.

• Good Knowledge of C, C++ programing language
• Hands-on knowledge on scripting languages such as VBA, Perl and Python are a plus
• Excellent analytical, problem solving and failure debugging skills
• High attention to detail while working under pressure
• Good verbal and written communication skills

Expected Base Pay Range (USD)

94,250 - 141,200, $ 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 TAOps@marvell.com.

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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