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Senior Staff Optical Reliability Engineer

Marvell228 open roles

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Santa Clara, CA
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Your applicationOpen nowSenior Staff Optical Reliability EngineerMarvell · Santa Clara, CA
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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Marvell postings stay open a median of 32 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted today

Marvell median: 32 days open

The posting

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

The Reliability Engineering Team is core part of the Marvell Quality organization and focuses on design for quality/reliability, qualification, reliability testing, supplier enablement and risk analysis of cutting edge products across all of Marvell’s Custom Compute, Data Center Interconnect, Cloud Optics, Enterprise, and Carrier business.

What You Can Expect

We are looking for a talented engineer to own product qualification and reliability for Marvell’s optical products — silicon photonics light engines, co-packaged optics (CPO) assemblies and pluggable optical transceivers.

In this role you will prepare qualification plans, define and bring up qualification hardware, drive stress testing at internal and external labs, analyze reliability data and drive failure analysis to root cause.

• Generate product qualification plans and drive robust execution of qualification testing.

• Define the requirements for the qualification hardware (HTOL and BDH, BHAST board etc.) and interface with the subcontractors and test/product engineering groups for design, verification and delivery of the stress boards.

• Collaborate with design/package/product engineering teams to drive FMEA for product qualification and proactively drive activities to mitigate product reliability risks based on FMEA outputs.

• Communicate qualification plans, qualification status, and qualification results to internal teams, upper management and customers.

• Conduct reliability data analysis generated from product qualification and/or other reliability activities.

• Drive failure analysis activities resulting from product qualification and reliability stresses.

• Manage test subcontractors and vendors for the execution of product qualification tests.

• Collaborate with the PKG team to develop packaging solutions for the qualification of die products.

• Support qualification of new vendors for reliability, product qualification, assembly and test.

• Write internal and customer-facing product qualification reports.

• Analyze reliability data; predict product lifetime and maintain product FIT/MTBF estimates

• Support Ongoing Reliability Monitoring (ORM) activities and failure analysis.

What We're Looking For

• BS in Electrical Engineering, Physics, Materials Science or related field with 5–10 years of experience; or MS/PhD with 3–5 years of experience.

• 2+ years in product qualification and reliability testing of optical or optoelectronic semiconductor products.

• Strong technical understanding of optical systems including semiconductor lasers, silicon photonic devices, co-packaged or near-package optics, pluggable transceivers, etc.

• Deep knowledge of semiconductor components, assembly and advanced packaging technologies.

• Familiar with JEDEC, Telcordia (GR-468), and MIL-STD qualification standard and the Physics behind these requirements.

• In-depth knowledge of stress testing methodologies (HTOL, DH, HAST, TC, HTS, ESD, LU, etc).

• Experience with reliability data analysis and Statistical data analysis.

• Experience in the use of JMP, Minitab or ReliaSoft

• Experience automating data collection / processing with python scripting; AI tools is a plus.

• Excellent communication, interpersonal, planning and organization skills; able to work independently and with cross-functional teams on multiple concurrent projects.

Expected Base Pay Range (USD)

122,200 - 183,000, $ 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.


This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success.


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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