Planner - Assembly and Test Subcon Management Intern - Bachelor's Degree

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

Being a member of experienced planning team for a leading fabless semiconductor company, you will learn how to manage assembly and test loadings at subcontractors located globally, so as to fulfil customer orders timely at minimal cost, fastest cycle time and optimal inventory level.

What You Can Expect

The primary responsibilities of a fabless planners include but not limited to the followings:

• Take leadership role in coordinating issues relating to production that impacts customer order fulfilment
• Work closely with the global teams from engineering, test development, quality and others disciplines
• Participate in cross-functional projects
• Provide status reporting to management
• Responsible for all WIP and inventory reporting by subcontractors in Oracle system

During your internship, you will have the opportunity to spearhead two mini projects:

• Define and automate Supply Chain Metrics using PowerBI, Power query & Power Automate: You will first develop a good understanding of the supply chain functions and the database to determine useful metrics or reports / dashboards that will greatly enhance supply chain efficiency and productivity and improve & standardize information sharing among various organizations in Marvell. You will write programs using BI tools to analyse the data and present it in an easy to understand and consistent way.
• Automate routine tasks using RPA (Robotic Process Automation) & PowerBI. You will partner with IT personnel and experience planners to explore and define use cases for pilot project using RPA to automate repetitive and routine planning tasks. Goal is to improve productivity, efficiency and accuracy in addition to eliminating tedious manual work by planners and streamlining supply chain operations.

What We're Looking For

• A good degree in engineering or Information Technology specializing in data analysis.
• Preferably with related semiconductor assembly and planning experience
• Good analytical and communication skills
• Able to assist in system enhancement, preferably with good knowledge of IT, Oracle and Microsoft tools. Knowledge of PowerBI, Powerquery & Power Automate and/or RPA will be advantageous.

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 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.

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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