Full-Time

Senior Software Engineer

Cloud Infrastructure

Confirmed live in the last 24 hours

WeRide

201-500 employees

Level 4 autonomous driving technology provider

Data & Analytics

Robotics & Automation

Industrial & Manufacturing

AI & Machine Learning

Consumer Goods

Senior

San Jose, CA, USA

Required Skills

Kubernetes

Python

Java

Docker

AWS

Scala

Linux/Unix

Data Analysis

Requirements

BS, MS, PhD in Computer Science / Engineering, Statistics or other equivalent fields
3+ year experience of developing scalable, distributed, compute-intensive services and ETLs on AWS or other cloud platforms
3+ year experience of cloud-native software architect and development
Proficiency in C++, Python, Go, Scala, or Java
Familiar with Kubernetes, Linux, Docker, LXC, Micro services

Responsibilities

Architect and develop scalable and reliable PaaS and IaaS platforms
Architect and develop high performance and scalable distributed system for large scale data storage, data processing, distributed deep learning, simulation
Discover and resolve performance bottlenecks to improve the efficiency of platform continuously
Build profiling tools to allow engineers to efficiently identify system bottlenecks
Build monitoring and introspection tools to allow engineers to quickly introspect a system

WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.

WeRide.ai is looking for a Software Engineer to build powerful and efficient world-leading cloud infra platforms for autonomous driving, inlcuding PaaS platforms, such as Big Data, AI, Simulation, and IaaS platforms, such as K8s, storage services.

What you will do:

Architect and develop scalable and reliable PaaS and IaaS platforms to serve the whole company to meet our growing business needs.
Architect and develop high performance and scalable distributed system for large scale data storage, data processing, distributed deep learning, simulation.
Discover and resolve performance bottlenecks to improve the efficiency of platform continuously.
Build profiling tools to allow engineers to efficiently identify system bottlenecks.
Build monitoring and introspection tools to allow engineers to quickly introspect a system.

Requirements:

BS, MS, PhD in Computer Science / Engineering, Statistics or other equivalent fields
3+ year experience of developing scalable, distributed, compute-intensive services and ETLs on AWS or other cloud platforms.
3+ year experience of cloud-native software architect and development
Proficiency in C++, Python, Go, Scala, or Java.
Familiar with Kubernetes, Linux, Docker, LXC, Micro services.

Salary Range: Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $143,000 - $197,437.50 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

WeRide.ai offers competitive salary depending on the experience. Employee benefits include:

Premium Medical, Dental and Vision Plan (No cost from employees or their families)

Free Daily Breakfast, Lunch and Dinner

Paid vacations and holidays

401K plan

WeRide

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Website

View Company Profile

WeRide is a leading employer in the autonomous driving sector, providing a dynamic work environment where technical prowess in Level 4 autonomous technologies is both challenged and elevated. Employees at this global company get the opportunity to engage with cutting-edge products like Robotaxi and Robobus, enhancing their skills alongside strategic partnerships with top OEMs and mobility platforms. This focus on collaborative growth and extensive real-world application, evidenced by over 20 million kilometers of autonomous driving data, makes it an exemplary workplace for innovation and professional development in the autonomous driving industry.

Company Stage

IPO

Total Funding

$1.9B

Headquarters

San Jose, California

Founded

2017

Growth & Insights

Headcount

6 month growth

↑ 3%

1 year growth

↑ 9%

2 year growth

↑ 40%

Benefits

Employee Stock Plan

Competitive Compensation Package

100% Company Paid Premium Medical Plan

Team Building Activities

Paid Vacation And Time-off

Free Hot Breakfast, Lunch And Dinner