Full-Time

Global Service Supply Planner

Posted on 5/9/2026

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI HPC platforms

Compensation Overview

$128k - $247.3k/yr

+ Equity

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

In Person

Category
Operations & Logistics (2)
,
Required Skills
Python
SQL
SAP Products
Data Analysis
Excel/Numbers/Sheets
Requirements
  • 7+ years of working experience in the service planning field, preferably planning in SAP
  • Bachelor’s degree in Supply Chain, Industrial Engineering, Business Administration, Computer Science, Mathematics, Economics or relevant areas or equivalent experience
  • Strong communication, problem-solving, teamwork, organizational, and quantitative skills
  • Proven track record to document, automate and improve processes and inspire changes cross-functionally to get results
  • Proficiency in business software applications such as Microsoft Office, Excel, MRP systems
  • Excellent analytical skills and hands-on with excel to analyze and manipulate data - formulas, pivot tables. Ability to write excels macros is a plus
  • Language: Excellent English skills on reading, writing, speaking, and listening
  • Personality: highly organized, detailed orientated, a self-starter and collaborator with a strong sense of ownership
  • Direct experience with service operations, spares parts planning and customer support
  • Possess a start-up mentality; proactive in driving actions to support the business and willing to take on additional responsibilities as the business grows
Responsibilities
  • Act as the critical link within Service Operations to Demand Planning, Production planning, Repair Operations, Service logistics, the Business Units, Enterprise Support Services, Service Product management, Finance, and Quality assurance to set priorities and supply strategies
  • Work with the production and factory teams to reduce excess, coordinate with our production planning team on alternate part/part numbers, and work with the BU on demand and flexibility trade-offs to ensue every additional liability generated has been carefully weighed
  • When there are capacity, material, or production issues that will prevent satisfying all demand, you will be working with the Planning team’s person in charge to determine tradeoff options and work with internal partners to craft an efficient solution
  • Analyze demand shortfalls and changes in supply to prepare a weekly supply summary
  • Liaise with Repair Operations to ensure we optimize the usage of refurbish material in a timely manner
  • At NVIDIA, we strive for continuous improvement with our partners. Our team will provide suggestions to the management team of NVIDIA and its subcontractors on how to pursue a higher performance level on our Key Performance Index: committed shipment hit rate, cycle time, and production line efficiency
  • You'll work with the program managers & engineers to develop ramp plans for products from early-stage sampling to production. You will coordinate the transition plan of product revisions based on customer qualification schedules and supply availability
  • You will use your SAP planning skills to help with all supply-related matters
  • Provide analytic and systems support for the Service Planning team
  • Develop robust last time buy plans for variety of service parts and communicate requirements clearly and concisely to executive management

NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Toyota adopts NVIDIA DRIVE AGX Orin, boosting automotive revenue 103% in Q4 FY2025.
  • SoftBank plans NVIDIA AI servers in Japan by 2030; IREN deploys 5GW infrastructure.
  • NVIDIA reaches $5.5T market cap with $216B FY revenue and $400B projected FCF.

What critics are saying

  • Broadcom supplies custom chips to Google through 2031, Anthropic from 2027, OpenAI.
  • China revenue hits zero from $17B due to US restrictions, $4.5B Q1 2026 charge.
  • B200 GPU rentals drop 30% as sentiment flips bearish, cooling FY2027 $78B guidance.

What makes NVIDIA unique

  • NVIDIA invented the GPU in 1999, pioneering accelerated computing.
  • CUDA platform from 2006 enables GPUs for AI and parallel computing.
  • Full-stack AI infrastructure powers 80% of AI training GPUs in 2025.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-3%

2 year growth

-2%
The Associated Press
Apr 15th, 2026
Matlantis integrates NVIDIA ALCHEMI Toolkit for 10x faster materials simulation

Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.

CNBC
Apr 14th, 2026
Nvidia stock surges 18% on 10-day winning streak fuelled by $1T GPU orders through 2027

Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.

Yahoo Finance
Apr 14th, 2026
D-Wave CEO claims quantum computers could challenge Nvidia's AI dominance with superior power efficiency

D-Wave Quantum CEO Alan Baratz claims quantum computing poses a threat to Nvidia, citing superior energy efficiency. Speaking at the Semafor World Economy Summit, Baratz said D-Wave's quantum computer uses just 10 kilowatts of power—equivalent to five or 10 GPUs—whilst solving problems that would take GPU systems nearly a million years. D-Wave shares rose nearly 16% on Tuesday, part of a 140% gain over the past year. The company reported $2.75 million in Q4 revenue, missing analyst estimates, but bookings surged 471% to $13.4 million. The $5.3 billion company recently secured a $20 million agreement with Florida Atlantic University and acquired Quantum Circuits for $550 million. However, quantum machines remain specialised tools, unable to run large language models that drive Nvidia's dominance.

Yahoo Finance
Apr 14th, 2026
Vertiv partners with Nvidia on AI data centre infrastructure as analysts raise price target to $300

Vertiv Holdings has been reaffirmed with a Buy rating by Evercore ISI, setting a price target of $280, whilst Barclays raised its target from $281 to $300 with an Overweight rating. The electrical equipment company is partnering with Nvidia on AI infrastructure development. On 16th March, Nvidia introduced its Vera Rubin DSX AI Factory reference design, with Vertiv providing critical power and cooling solutions for AI data centres. The partnership integrates Vertiv's infrastructure expertise with Nvidia's AI systems to enhance energy efficiency and performance. Vertiv is developing Vertiv OneCore Rubin DSX, a prefabricated system designed to accelerate AI factory deployment. The Brussels-headquartered company specialises in critical digital infrastructure technologies for data centres and communication networks.

Yahoo Finance
Apr 14th, 2026
Nvidia and Dell: AI infrastructure stocks to buy ahead of May earnings

Nvidia and Dell Technologies are positioned as attractive AI infrastructure investments ahead of their May earnings reports, according to recent analysis. Both companies supply critical hardware for AI computing, with demand for AI capacity continuing to outpace available resources across major cloud services. Nvidia shares have remained flat for six months despite strong fundamentals. Last quarter, its data centre business generated $62 billion in revenue, up 75% year over year, with a 75% gross margin. The company expects over $1 trillion in cumulative orders for its Blackwell and upcoming Rubin chips through 2027. Trading at 17 times next year's expected earnings, Nvidia's valuation appears discounted relative to its 66% revenue growth in fiscal year 2026. Dell Technologies similarly stands to benefit from the AI infrastructure build-out. Both companies report earnings in May.