热门公司

Google
Google

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

Calibration Engineer, Quantum AI

职能工程
级别中级
方式现场办公
类型全职
发布3周前
立即申请
  • Advance our capabilities by translating novel, state-of-the-art calibration techniques into scalable production software.

  • Provide stress-testing and hardening for our calibration software to guarantee it meets the strict uptime and reliability demands of externally facing systems.

  • Engage with hardware to calibrate and characterize state-of-the-art superconducting qubit devices.

  • Build advanced system validation tools to rapidly identify, isolate, and resolve failures across the entire quantum computing stack.

  • Architect and develop the automation tools required to initialize, deploy, and maintain the performance of our flagship quantum hardware to external users.

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience

  • 2 years of industry or academic research experience in an engineering or physics field

  • 1 year of experience calibrating and operating quantum systems

  • 1 year of programming experience

浏览量

0

申请点击

0

Mock Apply

0

收藏

0

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