热门公司

NVIDIA
NVIDIA

Pioneering accelerated computing and AI

Senior Product Engineer

职能工程
级别资深
地点Taiwan, Hsinchu
方式现场办公
类型全职
发布1周前
立即申请

NVIDIA is looking for a Senior Engineer of Board Product Engineering Team, who has excellent product development, product management, NPI/MP knowledge and experience in supporting the fast-growing NV product engineering and manufacturing over worldwide CMs. PE works with various teams within NVIDIA Engineering. In this role, you will face the challenges from different products' design, like GPU, CPU, Network and work with cross NVIDIA internal teams for design/process execution and optimization. You will apply the designed process to worldwide CM sites and ensure all of them perform well. You can expect high visibility with NVIDIA senior executives, given the strategic priority for developing NVIDIA computing platform.

What you will be doing:

  • Responsible for NVIDIA board team product management, including product yield management, drives and ensure product engineering implementation, maintenance of manufacturing methods, processes, and operations for new and existing products, product change control and build management, product failure debug and resolution over TOP issues.

  • Supervise NVIDIA board products’ quality and yield goals, and take corrective actions if needed, work with hard design, validation, software and product engineers to characterize product, address bugs, improve product quality.

  • You will be onsite support over global CM sites.

What we need to see:

  • 5+ years’ proven experience in either Product Development in the Server/Board related, Consumer Product industry and or backend product manufacturing experiences. Deep technical knowledge in Hardware and/or Software Engineering / Embedded Product Development. in EE, CE, Systems Engineering or Engineering Science/Physics

  • MS in EE, CE, CS, Systems Engineering (or equivalent experience)

  • Experience with board design/manufacturing/analyze

  • Highly results oriented, problem solver and excellent team-mate.

  • Knowledge of interpersonal structure, workflow, and operating procedures.

  • Ability to work in cross-site and cross-cultural environment.

  • Proficient in English language and good at Chinese

Ways to stand out from the crowd:

  • Good appetency, product management, and coordination.

  • Database, C/C++, Python abilities

  • Good sense of cost, effective, capacity and revenue.

NVIDIA is committed to encouraging a diverse work environment and is proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

浏览量

1

申请点击

0

Mock Apply

0

收藏

0

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

10条评价

4.4

10条评价

工作生活平衡

2.8

薪酬

4.5

企业文化

4.2

职业发展

4.3

管理层

3.8

78%

推荐率

优点

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

缺点

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

薪资范围

79个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7份报告

$170,275

年薪总额

基本工资

$130,981

股票

-

奖金

-

$155,480

$234,166

面试评价

5条评价

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience