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职位Google

Machine Learning Design Engineer, Silicon

Google

Machine Learning Design Engineer, Silicon

Google

·

On-site

·

Full-time

·

2w ago

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.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

  • Set technical direction for the team within the capacity of technical lead and people manager.

  • Engage with Machine Learning System Architects and Software teams to define specifications and implement digital logic using Chisel, Verilog, and/or System Verilog.

  • Engage with Verification and Silicon Validation teams to ensure functionality of the design.

  • Perform power, area, and performance trade-offs of digital designs and architectures.

  • Apply engineering best practices (e.g., code review, testing, refactoring) to the design and implementation of ASIC blocks.

Minimum qualifications

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

  • 8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or System Verilog.

  • Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques.

Preferred qualifications

  • Master's or PhD degree in Electrical Engineering, Computer Engineering or Computer Science.

  • Experience with a scripting language like Perl or Python.

  • Experience with ASIC or FPGA design verification, synthesis, timing/power analysis, and DFT.

  • Knowledge of high-performance and low-power design techniques, assertion-based formal verification, FPGA and emulation platforms, and SOC architecture.

  • Knowledge of memory compression, fabric, coherence, cache, or DRAM.

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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