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职位Google

Filter Technician, Quantum AI

Google

Filter Technician, Quantum AI

Google

·

On-site

·

Full-time

·

1w ago

  • Build, maintain, and operate cryogenic test apparatuses, fixtures, and mounts for production screening and experimental prototyping.

  • Collect and analyze Vector Network Analyzer (VNA) data to characterize device performance.

  • Prepare and assemble Printed Circuit Boards (PCBs) and die using specialized fixturing.

  • Test electrical performance of components and support failure analysis by determining root causes and corrective actions.

  • Operate tools for metal deposition, lithography, etching, and device characterization.

  • Associate's degree, trade school certification, other verifiable training in a relevant technical field, or equivalent practical experience.

  • 3 years of experience with electronics packaging, including printed circuit boards (PCBs), wire bonding, or die preparation.

  • Experience with hardware solder assembly processes (e.g., IPC J-STD-001).

  • Experience using optical and electrical inspection equipment (e.g., voltmeters, microscopes, or oscilloscopes).

  • Experience with metal cutting techniques.

  • Experience working with electrostatic discharge (ESD) sensitive devices.

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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

Mid/L4

Senior/L5

Mid/L4 · Technical Program Manager

1,213份报告

$365,196

年薪总额

基本工资

$187,658

股票

$130,822

奖金

$46,717

$242,776

$576,787

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