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职位NVIDIA

Manager, Product Development

NVIDIA

Manager, Product Development

NVIDIA

Taiwan, Hsinchu

·

On-site

·

Full-time

·

2d ago

NVIDIA is looking for a Product Development Manager to lead the chip NPI and Production which included the yield enhancement and the waste reduction. As the complexity of our Data Center (GPU) products increases , we need a dedicated professional to manage our all our products from NPI to mass production, optimize the cycle time, yield and ensure the smooth execution to meet the customer demand. You will play a pivotal role in bridging the time zone gap between Santa Clara and Taiwan.

What you will be doing:

  • Lead a technical team responsible for the CP/FT program release, qualification and the CHAR activities during the NPI. Will be also playing the product owner role from TWN site.

  • Identify and implement the test processes to improve the manufacturing efficiency for our latest GPU architectures, built in leading-edge process technology.

  • Analyze and root cause the product yield limiters, qualification failures (GPU, HBMs silicon and the package) on the Automatic Test Equipment (ATE)

  • Lead multi-functional efforts with DFx, Design, Timing, Test, Foundry, Quality, and Suppliers to root-cause the complicated technical problems.

  • Develop creative solutions for the complex problems and be on the front-line to lead showstopper bugs.

  • Be able to influence the future ASIC designs to improve the product quality, test coverage to drive yields up and reduce waste.

What we need to see:

  • Master's degree in Electrical Engineering and 8+ overall years of equivalent experience in semiconductor field.

  • 3+ years experience leading a technical team in the product development engineering department.

  • Critical thinking, solution focused, deep problem solving skills and strong sense to take the ownership.

  • Exposure to the digital circuit design, the critical path analysis, process technologies, device physics, silicon reliability and aging mechanisms

  • Knowledgeable in DFx and various fault models

  • Experience with product characterization on Verigy 93K tester

  • Proficient in statistical modelling of data using JMP software or other statistical tools for data analysis

  • Familiar with the scripting/programming knowledge (Python or Perl)

  • Skilled at the collaborating with global teams

  • Excellent interpersonal skills, cross-functionally.

Ways to stand out from the crowd:

  • Experience with DRAM Testing and 2.5D assembly

  • Strong background in DFx techniques and advanced CMOS processes

  • Examples of creative solutions to silicon/package problems

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.

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关于NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

员工数

Santa Clara

总部位置

$4.57T

企业估值

评价

4.1

10条评价

工作生活平衡

3.5

薪酬

4.2

企业文化

4.3

职业发展

4.5

管理层

4.0

75%

推荐给朋友

优点

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

缺点

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

薪资范围

73个数据点

L3

L4

L5

L6

L7

L3 · Product Manager IC2

0份报告

$183,722

年薪总额

基本工资

-

股票

-

奖金

-

$156,163

$211,281

面试经验

7次面试

难度

3.1

/ 5

体验

正面 0%

中性 86%

负面 14%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

常见问题

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR