Key technologies and capabilities for this role
Common questions about this position
A Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Materials Science, or a related field is required, along with 9+ years of experience in engineering roles focused on supplier management, manufacturing engineering, or NPI.
Candidates need a proven track record in understanding complex manufacturing processes, strong background in quality methodologies like Six Sigma, FMEA, and SPC, experience with yield analysis and root cause analysis, plus excellent communication, interpersonal, and leadership skills.
International travel to supplier sites is required as needed, and proficiency in English and Mandarin is necessary.
This information is not specified in the job description.
Experience with advanced manufacturing will help you stand out from the crowd.
Designs GPUs and AI computing solutions
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.