Principal Digital Design 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. 

This is an existing vacancy.

Your Team, Your Impact

What You Can Expect

Your role involves conducting in-depth circuit analysis for compact sub-circuit blocks within our overall design, considering Process, Voltage, and Temperature (PVT) factors. Using your experience using transistor-level circuit design software like Cadence Virtuoso or Spectre X for design analysis, you will be mentoring others to optimize performance within specified area and power constraints, utilizing engineering judgment to balance trade-offs and refine designs. Your day-to-day activities include iterative testing, documentation, summarization of findings, and collaboration with the global team through regular meetings, ensuring alignment within the 18-month project cycles. Tools such as Python, Perl, and the Microsoft Office Suite will be integral to your tasks, and proficiency in a Linux environment is essential for seamless execution.

What We're Looking For

• Bachelor’s degree in Computer Science, Electrical Engineering or related fields and 10-15 years of related professional experience.
• Independently analyzes and optimizes small sub-circuit blocks within our overall design across Process, Voltage, Temperature
• Responsible engineer for at least one major sub-circuit block from architecture definition to fine tuning.
• Identifies and proposes innovative solutions to enhance the design of at least one major sub-circuit block.
• Participates in root cause investigation and silicon validation of model to hardware correlation issues.
• Mentors and coaches new and/or less experienced team members.

Expected Base Pay Range (CAD)

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

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.

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.

Marvell may employ artificial intelligence technologies to assist in the evaluation of job applications. All application reviews include meaningful human involvement, and no hiring decisions are made solely on the basis of automated processing.