Senior Staff CAD Engineer
MarvellAbout the role
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 key CAD member of Marvell Central Engineering, you will play a leading role on developing next-generation automated design flow and its add-on tools. You will have the opportunity to use your extensive design and CAD knowledge to participate in defining the whole organization's design infrastructure, methodology and workflows.What You Can Expect
Develop and maintain leading-edge P&R flows addressing the needs of Marvell’s various Business Units
Contribute to the deployment and support of these flows
Work in collaboration with the rest of the team to ensure optimal integration inside the overall CAD platform
Come-up with innovative solutions to ever-increasing design challenges
Keep up with process and tool evolutions
Interface with EDA vendors for optimal tool usage
What We're Looking For
Bachelor’s degree in Computer Science, Electrical Engineering or related fields and 5-10 years of related professional experience or Master’s degree and/or PhD in Computer Science, Electrical Engineering or related fields with 3-5 years of experience or equivalent professional experience in lieu of a formal degree
5+ years of hands-on experience in physical design and flow development
Proven experience with 5nm or below tech nodes tape out
Familiar with Finfet, Dual Patterning and ULV challenges
Solid understanding, at least at block level but preferably at SoC level of:
timing closure issues and ways to debug and fix them
floorplanning and routability issues and ways to fix them
Power Grid design and validation
Various Clock synthesis schemes
SI, EM/IR, complex DRC rules
Power intent and Multiple power domains implementation
High speed and low power implementation techniques/trade-offs
Upstream/Downstream flow correlation
Good level of proficiency in Tcl/python scripting in the context of flow development
Demonstrate good analysis and problem-solving skills. Out-of-the-box thinking
Team player with good verbal and written communication skills
Expected Base Pay Range (USD)
127,630 - 191,200, $ per annumThe 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.
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