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职位Waymo

Staff Software Engineer, Linux Kernel

Waymo

Staff Software Engineer, Linux Kernel

Waymo

Warsaw, Masovian Voivodeship, Poland

·

On-site

·

Full-time

·

2mo ago

福利待遇

Equity

401(k)

必备技能

C

C++

Linux kernel development

Device driver development

Hardware debugging

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 Onboard Infrastructure is responsible for low-level software and infrastructure on various components of the Waymo self-driving system. The team's scope covers everything from low-level system software to high-bandwidth data logging, IPC (low-latency and high-throughput), performance analysis, and full-system debugging. We work with the Hardware, Compute, Sensor, Perception, Behavior and Machine Learning teams to build the most performant and low-latency self-driving solution in the industry.

In this role, you will work on the System Software Team. The System Software team owns the primary compute node of Waymo's on-vehicle compute platform – an integrated embedded system. If you enjoy building embedded systems using novel compute hardware and working with engineering teams that will be direct consumers of your work, you'll be a great fit for this role.

In this hybrid role, you will report to the Technical Lead Manager.

You will:

  • Work on a small team of System Software and Linux Kernel Engineers to develop system software components from early prototyping to production launch of autonomous vehicles

  • Develop and test Linux Kernel drivers and other components such as middleware services for high-performance embedded systems including custom ASICs and accelerators

  • Work with a variety of engineering teams and SoC partners to take on ambiguous problems

You have:

  • BA/BS degree in Computer Science, or relevant technical field or equivalent practical experience

  • Proficiency in C and C++

  • 5+ years of programming experience in an asynchronous environment with multiple processes, threads, timers, and interrupts

  • Experience with Linux kernel and device driver development

  • Working knowledge of hardware bring-up and debugging

We prefer:

  • Working knowledge of complex hardware-accelerated compute pipelines (GPUs, ML accelerators, image/data processors)

  • Experience with bootloaders or programming in a BIOS

  • Experience with building and maintaining testing infrastructure for OS and other low level code

  • Experience with performing safe and robust software and firmware updates

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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