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职位Google

Senior Silicon Architect, System Performance

Google

Senior Silicon Architect, System Performance

Google

·

On-site

·

Full-time

·

1w ago

  • Optimize memory system performance (hard real time and soft real time) on critical use cases in pre-silicon phase. Create, improve and maintain the real use cases test vectors.

  • Develop CPU performance and power modeling on real use cases, to support and suggest architecture decisions.

  • Collaborate with Architect, Verification, Platform/IP design and Software teams to execute performance closure tests. Analyze performance bottleneck and propose optimization solution in pre-silicon phase.

  • Host the silicon performance correlation.

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.

  • 8 years of experience in memory system performance (hard real time and soft real time) in pre-silicon phase.

  • Experience with performance analysis, including software-hardware interaction and bottleneck identification (CPU, GPU, memory bound).

  • Experience with memory system components like memory management units, bus fabric, coherent fabric, system level cache and memory controller architecture design and sizing.

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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