Staff Validation 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

As a Hardware and Silicon Validation Staff Engineer at Marvell, you’ll be helping to deliver high bandwidth over long distances. This team performs analog validations on amplifiers that drive optical electronic devices and receivers. We also validate silicon photonics, do upper electronic measurements and support the coherent digital signal programming unit. This is a niche area at Marvell, working with cutting edge technologies used by many internal and external customers around the world.

What You Can Expect

• Represent system engineering team while engaging with functional teams (such as digital, analog, firmware) to develop Marvell’s next gen, high-speed networking PHY Serdes IP/ICs.
• Work independently and collaboratively in post-silicon validation team to collect and analyze massive bench data and drive tuning parameters to ensure product quality.
• Characterize electrical parameters and building blocks such as Tx jitters, CDR loops, CTLE, PLL, etc.
• Tune internal circuits such as peaking, bandwidth, FIFO, and adaptation algorithms to optimize product’s operating margin under stressed PVT conditions.
• Involve in system level hardware (PCB schematics) and work with SI and layout teams to build engineering boards.
• Create, maintain and own bench automation libraries (python) for various of products.
• Share your ideas and contribute work that will have a direct impact upon the product of company.

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.
• Strong analog and mixed-signal knowledge.
• Solid understanding of modern high-speed PHY/Serdes.
• Solid programming skill in languages such as Python, Matlab, etc.
• Strong team work and communication skills.
• Demonstrates good analysis and problem-solving skills.

Expected Base Pay Range (USD)

108,220 - 162,100, $ 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