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职位Waymo

Post-Silicon Validation Software Engineer

Waymo

Post-Silicon Validation Software Engineer

Waymo

Bangalore, Karnataka, India

·

On-site

·

Full-time

·

1mo ago

薪酬

₹3,400,000 - ₹4,110,000

福利待遇

Equity

401(k)

必备技能

Python

Test automation

Hardware testing

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate with many other teammates to ensure we design and improve hardware and software for maximum performance. We are a diverse team looking for curious and talented teammates to work on one of the world's highest performance automotive compute platforms.

This role follows a hybrid work schedule* and you will report to a Software Engineering Manager.*

This position will require the ability to work some hours that align with the team in the Pacific Time zone on an as needed basis.

You will:

  • Build and maintain silicon test fleet and regression test infrastructure

  • Build and maintain silicon stress test suite

  • Collaborate with Waymo hardware testing team and external vendors for silicon manufacturing testing

You have:

  • Bachelor’s degree in Computer Science or Electrical Engineering

  • 3 years of experience in coding, developing testing methodologies, writing test plans, creating test cases

  • Experience with Python development or test automation with Python

  • Experience in a hardware or embedded software testing and automation role

We prefer:

  • Experience in silicon manufacturing test flows, from functional to system-level testing

  • Experience in building web-based solutions that improve test processes and reporting

  • Embedded software development skills in C/C++

The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range**₹3,400,000—₹4,110,000 INR**

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关于Waymo

Waymo

Waymo

Series C

Waymo LLC is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Alphabet Inc., Google's parent company.

1,001-5,000

员工数

Mountain View

总部位置

$200B

企业估值

评价

4.2

10条评价

工作生活平衡

2.8

薪酬

4.1

企业文化

4.3

职业发展

3.5

管理层

3.8

78%

推荐给朋友

优点

Supportive and collaborative team environment

Innovative and cutting-edge technology projects

Competitive salary and excellent benefits

缺点

Fast-paced environment can be stressful

Work-life balance challenges

High pressure and overwhelming workload

薪资范围

310个数据点

Mid/L4

Mid/L4 · Data Scientist

38份报告

$280,748

年薪总额

基本工资

$183,551

股票

$74,549

奖金

$22,649

$187,768

$434,285

面试经验

5次面试

难度

3.6

/ 5

时长

14-28周

录用率

60%

体验

正面 40%

中性 60%

负面 0%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

常见问题

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge