Chips Production Planner

Posted 5 Days Ago
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Santa Clara, CA, USA
In-Office
100K-201K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Plans and optimizes semiconductor production schedules, supply commitments, material allocation, and WIP priorities. The role coordinates with suppliers, OSATs, factories, and supply chain teams; executes SAP transactions; manages inventory aging and clearance; supports engineering revisions; and develops reporting dashboards to improve production control. Candidates need substantial supply chain or operations experience, semiconductor or technology industry exposure, ERP and MRP expertise, strong analytical skills, and cross-functional process improvement experience.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. 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 immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Be a part of our NVIDIA Chips production planning team, collaborating with supply and demand planning teams, OSAT’s, factory operations, and other regional supply chain groups.  We need passionate, hard-working, and creative people to help us take on some of these great opportunities.    This position presents a rare opportunity to engage with a world-class technology firm, using your skills to impact the evolution of computing!

What you'll be doing:

  • Translate demand/supply plan into a master production schedule fulfilling different build mix to support demand fluctuation.

  • Analyze tradeoff options and influence decisions based on constraints in the whole supply chain.

  • Own supply commitments for multiple CHIP products. Optimize supply plan considering raw material availability as well as various constraint factors.

  • Plan and allocate dependent raw materials of wafer, die, substrates, memories, and other materials to the right production sites to meet production schedule.

  • Collaborate closely with upstream and downstream partners and suppliers ensuring seamless production plans to meet build requirements and support smooth transition of product/engineering revision changes.

  • Execute production related transactions in SAP. Own order management and re-prioritize existing WIP based on latest demand & supply trends to ensure product supply availability.

  • Identify slow moving/aging inventory and drive clearance activities with Business Unit to minimize write-off.  

  • Design and apply various operational reporting and dashboard metrics to drive improvement initiatives in production control planning.  

What we need to see:

  • BS/BA degree in Industrial Engineering, Operations, Supply Chain Management and/ or equivalent experience in industry field.

  • 5 years of proven experience in supply chain, operations, with background in semiconductors or tech industry.

  • Experience with high touch ERP systems such as SAP ECC/ APO/ S4 HANA, and an in-depth understanding of MRP concepts.

  • Superb analytical skills and adept with Excel specifics for scrutinizing and implementing data formulas, pivot tables. Proficiency in developing Excel macros is beneficial.

  • Strong communication, problem-solving, teamwork, organizational, and quantitative skills. You will need to be highly organized, meticulous, and a self-starter with a strong sense of ownership/accountability.

  • Consistent track record documenting, automating, improving processes, and influencing changes cross-functionally to get results.

  • Experience in a high-pressure production environment working with various constraints under a matrixed organization.

  • Self-starter, extremely agile/flexible with an attribute for growth and continuous learning.

Ways to stand out from the crowd:

  • Direct experience working /understanding in OSAT manufacturing environment.

  • APICS certified and understanding theoretical frameworks/concepts and applying them to real-world problems/solutions.

  • Advanced data management skills (Excel VBA / Tableau / Power BI / Python/ AI tools) will be a plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 155,250 USD for Level 3, and 128,000 USD - 201,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 20, 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

  • Bachelor’s degree in Industrial Engineering, Operations, Supply Chain Management, or equivalent industry experience
  • At least 5 years of experience in supply chain or operations, preferably in the semiconductor or technology industry
  • Experience with SAP ECC, SAP APO, or SAP S/4HANA
  • In-depth understanding of material requirements planning (MRP) concepts
  • Advanced Microsoft Excel skills, including formulas and pivot tables
  • Strong communication, problem-solving, teamwork, organizational, quantitative, and cross-functional influencing skills
  • Experience documenting, automating, and improving processes in a cross-functional environment
  • Experience working in a high-pressure production environment with multiple constraints and a matrixed organization
  • Self-starter with strong ownership, accountability, agility, flexibility, and continuous-learning orientation
  • Direct experience working in or understanding OSAT manufacturing environments
  • APICS certification and knowledge of supply chain planning frameworks
  • Advanced data management skills using Excel VBA, Tableau, Power BI, Python, or AI tools

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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