Virtual Supply Chain Specialist

Posted 6 Hours Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
128K-247K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Support partners across supply chain lifecycle: forecast components, allocate inventory, align manufacturing cost and schedules, analyze supply and partner performance, ensure legal compliance, and manage returns/refurbishment to meet time-to-market targets.
Summary Generated by Built In

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be surrounded by a varied, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Virtual Supply Chain Specialist who supports partners at every stage of their supply chain. This includes cost optimization, forecasting raw materials, production, inventory, and time to market. The goal is to ensure the product arrives accurately when needed during this complex process. Does this sound like a good fit for your next role? If you are driven and have a passion for driving new technologies to market, then join us!

What you’ll be doing:

  • Forecast critical components to our key suppliers and leverage the Purchasing team to ensure component supply readiness when partners are ready to place PO.

  • Allocate components to partners and CM in case of shortage.

  • Work with engineering to set manufacturing targets and communicate with partners.

  • Drive GMI through optimizing the customers manufacturing cost.

  • Optimize and align the manufacturing cost with customers partners for all reference design.

  • Oversee Founder Edition production schedule to meet on shelf target.

  • Analyzing supply chain data, keep track of chips shipment and customer production start to simulate inventory on shelf at the right time.

  • Analyze partners operational performance and help to resolve issues.

  • Ensure supply chain processes meet legal requirements and standards.

  • Manage customers’ business return and refurbishment for resale.

What we need to see:

  • Minimum of 6+ years of Semiconductor planning experience.

  • Bachelor’s degree in supply chain management, Logistics, Business, Finance, or similar field (or equivalent experience).

  • Excellent understanding of supply chain and business processes

  • Good knowledge of relevant software and AI tools.

  • Great project management and problem-solving skills.

  • Excel / Macro proficiency

  • Understand the business functions of demand planning, Operation and Finance planning.

  • Strong verbal and written communication skills, in addition to strong shared work experience using collaboration and interpersonal skills.

  • Self-detail oriented with strong analytical skills.

Ways to stand out from the crowd:

  • You'll have semiconductor industry experience, including the “fabless” business model.

  • Experience using SAP and business software applications.

  • Understanding different virtual business model.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 128,000 USD - 201,250 USD for Level 4, and 152,000 USD - 247,250 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 10, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • 6+ years of semiconductor planning experience
  • Bachelor's degree in supply chain management, logistics, business, finance, or equivalent experience
  • Excellent understanding of supply chain and business processes
  • Good knowledge of relevant software and AI tools
  • Project management and problem-solving skills
  • Excel and Macro (VBA) proficiency
  • Understanding of demand planning, operations, and finance planning
  • Strong verbal and written communication and collaboration skills
  • Detail-oriented with strong analytical skills
  • Semiconductor industry experience including fabless business model
  • Experience using SAP and business software applications
  • Understanding different virtual business models

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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