Senior Software Engineer - Cloud Infrastructure

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV) company. Its business footprint now spans more than 60 cities across 13 countries. Powered by the intelligent, versatile, and highly adaptable WeRide One platform, the company provides autonomous driving products and services ranging from Level 2 to Level 4, addressing mobility, logistics, and urban services.

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.

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

Responsibilities

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.