[Remote] Senior Supplier Quality Engineer at NVIDIA

Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI Hardware, DatacenterIndustries

Requirements

BS or MS degree in mechanical, electrical, material, industrial engineering or a related engineering degree field, or equivalent experience
12+ overall years of supplier quality, process quality or customer quality experience in large volume compute system manufacturing for datacenter/server/storage applications with a shown ability to efficiently implement quality improvement initiatives
Proficiency with quality core tools application: 8D, 5-Why, 6S, FMEA, SPC, MSA, Six Sigma/Lean, CAR, CAPA, PCN, MRB etc
Excellent communication skills (written and spoken) and confidence communicating complex issues to a technical audience in a succinct and fast action-focused manner
Strong knowledge of quality systems and standards such as ISO 9001
Outstanding problem-solving skills

Responsibilities

Driving quality improvements through meticulous supplier assessments and audits
Collaborating closely with suppliers to ensure compliance with NVIDIA's extraordinary standards
Developing and implementing supplier quality metrics to supervise performance
Taking charge of root cause analysis and corrective action processes to address any quality concerns or issues
Working with multi-functional engineering teams to resolve and implement quality requirements
Offering mentorship, training and support to suppliers to improve their performance
Ensuring strict consistency to quality control procedures and regulations

Skills

Key technologies and capabilities for this role

Supplier Quality EngineeringSupplier AuditsRoot Cause AnalysisCorrective ActionsQuality MetricsProcess QualityHardware EngineeringAI SystemsDatacenter ManufacturingServer Manufacturing

Questions & Answers

Common questions about this position

What education and experience are required for the Senior Supplier Quality Engineer role?

A BS or MS degree in mechanical, electrical, material, industrial engineering or related field is required, along with 12+ years of supplier quality, process quality or customer quality experience in large volume compute system manufacturing for datacenter/server/storage applications.

What key skills and tools are needed for this position?

Proficiency with quality core tools such as 8D, 5-Why, 6S, FMEA, SPC, MSA, Six Sigma/Lean, CAR, CAPA, PCN, MRB is required, along with excellent communication skills, strong knowledge of ISO 9001, and outstanding problem-solving skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position, or where is it located?

This information is not specified in the job description.

What makes a candidate stand out for this Senior Supplier Quality Engineer position?

Candidates who thrive in fast-moving, multi-functional environments, have tight-knit collaboration experience, a track record of ownership for complex quality issues, experience with US-based compute system manufacturing supply chains, and are self-motivated with passion for AI technology stand out.

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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