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NVIDIA

Product Engineer, Server

NVIDIA is hiring a Product Engineer, Server. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions manufacturing management, process improvement and capacity planning among its tools and skills.
  • Level classes it as a senior role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

Production engineer responsible for designing and operationalizing manufacturing plans and quality for GPU server products.

manufacturing-managementprocess-improvementcapacity-planningquality-assurancedfx

We are looking for a creative and independent Production Engineer. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

Make the choice to join us today. We need a creative individual who will help design and operationalize manufacturing plans for GPU Server products. Because of the increasing complexity of our GPU servers, we need your manufacturing experience to forecast equipment and capacity, as well as ensuring we think about possible trouble spots ahead of time. You will be exposed to various aspects of building and testing NVIDIA server products, from GPUs to full system testing. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage, and capacity, and reduce production costs.

What you'll be doing:

  • Identify the factory key performance index & metrics measurement for periodic review

  • Work with ODM/CM engineers for continuous process improvement

  • Manage manufacturing and quality issues on the production line

  • Forecast equipment, tooling, and production capacity

  • Escalate critical quality issues to engineering teams and management

  • Assist, develop, and provide feedback on server design and DFx

  • Collaborate with server engineering and product engineering teams

What we need to see:

  • Bachelor's Degree in an Engineering discipline (i.e., Electrical, Industrial, or Mechanical) or Business Administration with technology Industry working experience.

  • 5+ years manufacturing management experience in x86 PC or server products

  • Strong communication skills in both English and Mandarin.

  • Knowledge of yield rate, Pareto analysis.

  • Self-motivated and able to work effectively across different functional team. Good communication and organization skills, with a logical approach to the problem- solving.

  • Good time management and task prioritization

  • Able to be proactive and drive projects with minimal supervision

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Hybrid

How we rate this

Product Engineer, Server at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Manufacturing ManagementProcess ImprovementCapacity PlanningQuality AssuranceDfx

Questions you could be asked

  1. Tell me about a project where manufacturing management was part of your work. What did you do?
  2. Tell me about a project where process improvement was part of your work. What did you do?
  3. Tell me about a project where capacity planning was part of your work. What did you do?
  4. Tell me about a project where quality assurance was part of your work. What did you do?
  5. Tell me about a project where dfx was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Manufacturing Management, Process Improvement, Capacity Planning, Quality Assurance, and Dfx. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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