
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🕒 May 8
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• 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.
• 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 • Showed 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.
• Opportunities for career development • Personal enrichment programs
Apply Now🕒 May 8
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