Marvell

Data Center Networking Software Product Manager

Santa Clara, CA US
Machine Learning
Description

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, 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

Marvell Technology Group is looking for a Principal Product Manager to help define and manage Marvell technologies, products and solutions. You will have an opportunity to work on some of the most cutting-edge semiconductor solutions for networking, storage and compute available today. You will be part of a team responsible for defining the software feature set required to enable Marvell Ethernet Switching silicon in Networking solutions for Data Centers. You will work in a fast-paced environment with an experienced and highly technical team of product managers and engineers to solve a wide range of challenging problems.

What You Can Expect

  • Owning software product roadmaps for data center solutions
  • Defining next generation software solutions for Generative AI and Machine learning clusters
  • Participating in open source communities as a leading v
  • Analyzing market trends to identify new market opportunities
  • Engaging with customers to share vision and direction of the portfolio
  • Drive life-cycle management of software (from definition to End of Sales/End of Support)
  • Act as an interface between the outbound product teams and engineering
  • Preparation of marketing and technical product documentation used internally and externally
  • Work closely with finance to generate profitable business cases
  • Work collaboratively with team members

What We're Looking For

  • Knowledge in Data Center Networking deployments
  • Experience with building products for AI clusters in networking, compute, storage, or security
  • Experience in working with hyperscale cloud customers
  • Experience with networking switching and routing technologies
  • Ability to work both independently and in cross functional teams
  • Ability to function well in a fast-paced, dynamic environment 
  • Think strategically and focus on results and outcomes
  • Excellent communication skills (verbal and written)
  • Strong problem-solving skills, good at execution and great attention to detail
  • Minimum Education: BSEE, BSCS, or BSCE required, MSEE, MSCS, MCSE preferred

#LI-MM1

Expected Base Pay Range (USD)

140,180 - 210,000, $ 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.

Additional Compensation and Benefit Elements 

At Marvell, we offer a total compensation package with a base, bonus and equity.Health and financial wellbeing are part of the package. That means flexible time off, 401k, plus a year-end shutdown, floating holidays, paid time off to volunteer. Have a question about our benefits packages - health or financial? Ask your recruiter during the interview process.

This role is eligible for our hybrid work model in which you will be able to split time between working from home and on-site in a Marvell office.

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.

Marvell
Marvell
DSP Internet of Things Manufacturing Semiconductor Wireless

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