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职位Google

Senior Product Engineer, Machine Learning Accelerators

Google

Senior Product Engineer, Machine Learning Accelerators

Google

·

On-site

·

Full-time

·

1w ago

  • Lead the technology assessment for new products. Co-work with the product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans.

  • Collaborate with Quality and Reliability Engineers to establish New Product Introduction (NPI) and production goals for yield and long-term reliability.

  • Validate product qualification plans, support reliability testing and review results to ensure product performance meets requirements.

  • Lead cross-functional teams towards resolution of components and build quality excursions during New Product Introduction build phases.

  • Provide on-site and remote support for pre-production builds. Ensure factory readiness, support manufacturing line bring-up, provide product debug training and gather feedback on build issues. Manage the bonepile and drive yield bridge analysis to improve product quality.

  • Bachelor's degree in Engineering or equivalent practical experience.

  • 8 years of experience in manufacturing.

  • Experience in PCBA (Printed Circuit Board Assembly) and related system assembly.

  • Experience in design for manufacturability and serviceability.

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关于Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense