Senior Materials Planner at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Bachelor's degree in Supply Chain Management, Operations, or a related field (or equivalent experience)
8+ years' experience within the semiconductor industry
8+ years' experience working with global Contract Manufacturing partners
Experience in data analytics and a strong ability to build compelling visual presentations using charts and metrics
Proficiency in MS Excel (including advanced techniques) and working with ERP systems like SAP
Regular user of AI tools like Gemini and OpenAI
Experience with Product Data Management (PDM) systems like Agile or Windchill, with knowledge of Bill of Materials (BOM) structures
Excellent communication and presentation skills, with the ability to influence cross-functional teams

Responsibilities

Drive the Clear-to-Build (CTB) process and other global materials management processes with Contract Manufacturers (CMs)
Identify and mitigate component-level risks to ensure uninterrupted production
Leverage Generative and Agentic AI to improve workflow processes and data analysis; customize data visualization to achieve cross-functional alignment on materials strategy
Implement data-driven inventory management strategies to balance flexibility with risk; mitigate material liabilities such as Excess & Obsolete (E&O) and Purchase Price Variance (PPV)
Collaborate with commodity management and engineering to identify alternate sources of supply, safety stock, demand offsets, and other means to stabilize supply
Conduct audits to ensure CMs drive materials in alignment with demand
Contribute to CM performance reviews; develop and measure Key Performance Indicators (KPIs) to measure CMs' performance
Collaborate with internal stakeholders to drive operational efficiency and resolve material constraints

Skills

Clear-to-Build (CTB)

Materials Management

Supply Chain Risk Mitigation

Generative AI

Agentic AI

Data Analytics

Data Visualization

Inventory Management

E&O Management

PPV Management

Commodity Management

KPIs

Contract Manufacturing

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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