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NVIDIA

Designs the chips and software that power AI

Senior Product Engineer

Manufacturing EngineeringConfirmed live in the last 24 hours
Full-timeShenzhen, Guangdong Province, ChinaNo salary listed

About the Job

Requirements

  • At least 5 years of experience in product development, particularly in AOC/transceivers.
  • Deep technical knowledge in hardware and/or software engineering related to optical product development.
  • A bachelor's degree or higher in electrical engineering, computer engineering, optoelectronic science and technology, optical information science and technology, or comparable experience.
  • Experience in high-precision connector/interconnect build, manufacturing, and testing.
  • Proficiency in advanced data analytics tools.
  • Knowledge of interpersonal structure, workflow, and operating procedures.
  • Ability to work effectively across sites and cultures.
  • Proficiency in written and spoken English and spoken Chinese.

Responsibilities

  • Manage NVIDIA Interconnect products, ensuring product engineering implementation and maintenance.
  • Drive product yield management and coordinate methods, processes, and operations for new and existing products.
  • Implement product change control and build management, and resolve product failure issues.
  • Oversee quality and yield goals, take corrective actions as needed, and work with hardware build, validation, software, and other product engineers.
  • Develop and grow manufacturing partners' capabilities, focusing on scalability and yield reporting.
  • Travel to various sites as part of the role.

Desired Qualifications

  • Deep understanding of software programming, especially Linux and Python.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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