Global Commodity Manager – Connectors, Cables and Optics at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

BS in Business, Industrial Engineering, Supply Chain Management, Mechanical Engineering or Electrical Engineering or equivalent experience. MBA Preferred
Minimum of 8+ years' experience in global commodity management and proven track record in managing connector, cable, and optics Supply Base
Deep understanding of connector, cable, and optics technology, market, manufacturing process, cost drivers and supply landscape
Ability to be innovative with issues related to strategic sourcing, supplier relations, and supplier performance measurement systems
Strong analytical skills such as cost modeling, quotation analysis, supplier selection, and supply/demand analysis
Ability to incorporate AI tools to enhance supply chain and sourcing analysis, data integrity, and decision making
Excellent negotiation and leadership skills in supplier management and contract negotiation
Excellent communication and influencing skills dealing with supply base executives
High degree of integrity, initiative, and attention to detail in a collaborative environment
Technical experience to compliment strong program management skills is preferred

Responsibilities

Build cross-functional alignment with Hardware, Electrical, and Mechanical engineering to identify commodity sourcing strategies to enable NVIDIA business segment requirements for Boards and System Supply Chain
Develop and manage supplier relationships and conduct supplier business reviews that improve suppliers value, performance, and account investments through aligned roadmaps
Negotiate Master Service Agreements, cost reduction strategies, and maintain lead-time, cost systems, and split of business decisions
Deliver a supplier risk management system, BOM risk reduction solutions, materials risk mitigation strategies, and maintaining data integrity to ensure supply resiliency
Rationalize and reduce the number of components and suppliers to capture synergies and reduce risk due to demand fluctuation
Enable early supplier involvement to bring innovation from the industry to deliver innovation on SOL (Speed of Light) project schedules
Concentrated effort in NPI to achieve industry leading time-to-market, establishing supplier selection criteria, alternative suppliers, qualify new suppliers, own the RFQ process, and drive supplier selection in partnership with Engineering
Provide complex capacity planning to support high volume ramp during NPI stages, informing Engineering and Management of any supply risks to Pre-release schedules, while also developing and enabling production and scale strategies for sustaining product and commodity growth to drive cost, lead time, continuity of supply, and risk mitigation leadership

Skills

Strategic Sourcing

Commodity Management

Supplier Relationship Management

Negotiation

Supply Chain Risk Management

BOM Management

Cost Reduction

Supplier Business Reviews

Supply Assurance

Cross-Functional Alignment

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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