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Google
Google

Organizing the world's information and making it universally accessible.

Staff ASIC Design Verification Engineer

职能工程
级别Staff+
方式现场办公
类型全职
发布1个月前
立即申请

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

  • Implement scalable verification framework tailored for multi-voltage SoC designs, ensuring seamless integration of design, design verification, and power methodology.

  • Architect and develop infrastructure for advanced UPF (2.0/3.0) verification, focusing on complex power state transitions, and isolation across asynchronous domains.

  • Implement high-performance Gate-Level Simulation (GLS) strategies, power aware flows to verify physical netlists against architectural power intent.

  • Develop and integrate diagnostic hooks to transition smoothly from pre-silicon environments to silicon debug, utilizing scandump analysis and JTAG-based visibility.

  • Establish best practices for low-power flows, including automation for UPF static checks, dynamic power assertions, and post-silicon failure reproduction.

Minimum qualifications

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

  • 10 years of experience with Unified Power Format (UPF) and low-power verification methodologies, including power domain integration.

  • Experience with gate-level simulation and power aware GLS, including Standard Delay Format (SDF) timing annotation and X-propagation debug.

  • Experience in developing custom tools/scripts (Python/Perl/Tcl) to solve verification bottlenecks in the power-aware domain.

  • Experience in SoC architectures, power management controllers, and cross-domain reset/clock sequencing.

Preferred qualifications

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

  • Experience with Low-Power Double Data Rate (LPDDR) (4/5) interface verification and power-down states in high-performance memory controllers.

  • Experience with Logic Equivalence Checking (LEC) and formal verification of low-power properties.

  • Experience mentoring junior engineers and collaborating with physical design and silicon validation teams.

  • Proficiency in System Verilog (SV) and understanding of Advanced RISC Machines (ARM) CPU architecture (v8/v9).

  • Proficiency in Scandump analysis, memory profiling, and correlating silicon behavior with gate-level models.

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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

10条评价

4.5

10条评价

工作生活平衡

3.2

薪酬

4.3

企业文化

4.1

职业发展

4.2

管理层

3.8

82%

推荐率

优点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

缺点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

薪资范围

57,503个数据点

Mid/L4

Mid/L4 · Accessibility Analyst

1份报告

$214,500

年薪总额

基本工资

$165,000

股票

-

奖金

-

$214,500

$214,500

面试评价

9条评价

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