[Remote] Senior Supplier Quality Engineer at NVIDIA

Texas, United States

NVIDIA Logo
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
  • 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)
  • 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 EngineeringDatacenter ManufacturingServer ManufacturingStorage ManufacturingQuality Control Procedures

Questions & Answers

Common questions about this position

What compensation and benefits does NVIDIA offer for this role?

NVIDIA offers competitive salaries and a generous benefits package.

Is this Senior Supplier Quality Engineer position remote or onsite?

This information is not specified in the job description.

What are the key required skills and experience for this position?

Candidates need a BS or MS in engineering or related field, 12+ years in supplier quality or related experience in large volume compute system manufacturing, proficiency with quality tools like 8D, 5-Why, FMEA, SPC, Six Sigma/Lean, excellent communication skills, knowledge of ISO 9001, and strong problem-solving skills.

What is the company culture like at NVIDIA for this role?

You'll be immersed in a diverse environment where everyone is encouraged to do their best work, thriving in a fast-moving, daring, and highly multi-functional setting with tight-knit collaboration.

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

Stand out with a track record of strong ownership for complex quality issues, experience with US-based compute system manufacturing supply chains, and being self-motivated with a passion for innovative AI technology and 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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