Senior Engineering Vendor Management at NVIDIA

Shenzhen, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, High-Performance Computing, Data Centers, Cloud ComputingIndustries

Requirements

Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or a related technical field
9+ years of experience in engineering roles, with a significant portion focused on supplier management, manufacturing engineering, or NPI
Proven track record to understand complex manufacturing processes and identify critical control points
Strong background in quality methodologies (e.g., Six Sigma, FMEA, SPC)
Experience with yield analysis, data interpretation, and driving root cause analysis for technical issues
Excellent communication, interpersonal, and leadership skills to effectively collaborate with internal teams and external suppliers
Ability to travel internationally to supplier sites as needed
Languages: English and Mandarin
Ways to stand out
Experience with advanced manufacturing technologies (e.g., advanced packaging, high-speed PCBs, Electro-Mechanical, mechanical, electrical, high Speed IO, etc.)
Familiarity with NPI processes in a fast-paced technology company
Proven track record of driving significant quality or yield improvements at suppliers
Experience with DFM (Design for Manufacturability) and DFT (Design for Testability) principles

Responsibilities

Lead engineering engagement with strategic and critical suppliers for new product introductions (NPI) and ongoing production, identify potential risks, critical parameters, and areas for optimization
Define and implement clear monitoring and documentation requirements for key process steps to ensure consistency and quality
Establish comprehensive quality criteria and outgoing quality control (OQC) procedures at suppliers prior to shipment
Monitor and analyze supplier yield data, production metrics, and quality performance to identify trends and drive corrective actions
Collaborate closely with internal NVIDIA engineering teams (Design, Product, Reliability, Quality) to ensure supplier capabilities align with product requirements
Drive continuous improvement initiatives at suppliers to enhance process control, yield, and overall product quality
Conduct supplier technical audits and provide mentorship on standard processes in manufacturing and quality control
Act as the primary technical interface between NVIDIA and strategic suppliers, resolving complex engineering challenges

Skills

Vendor Management

Supplier Engineering

New Product Introduction

Quality Control

Yield Analysis

Process Optimization

Technical Audits

Risk Identification

Manufacturing Processes

Data Analysis

Cross-functional Collaboration

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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