3 years ago
Base Salary
$143k - $197k/yr
Responsibilities
- Architect and develop scalable, reliable PaaS and IaaS platforms for company-wide use.
- Develop high-performance distributed systems for large-scale data storage, data processing, distributed deep learning, and simulation.
- Identify and resolve performance bottlenecks to improve platform efficiency.
- Build profiling tools that help engineers identify system bottlenecks.
- Build monitoring and introspection tools that help engineers analyze systems.
Requirements
- Bachelor’s, master’s, or doctoral degree in computer science, engineering, statistics, or an equivalent field.
- At least 3 years of experience developing scalable, distributed, compute-intensive services and ETLs on AWS or other cloud platforms.
- At least 3 years of experience with cloud-native software architecture and development.
- Proficiency in C++, Python, Go, Scala, or Java.
- Familiarity with Kubernetes, Linux, Docker, LXC, and microservices.
Benefits
- Annual performance bonus and equity eligibility.
- Premium medical, dental, and vision plans at no cost to employees or their families.
- Free daily breakfast, lunch, and dinner.
- Paid vacations and holidays.
- 401(k) plan.
About WeRide.ai
WeRide builds Level 2–4 autonomous driving systems and operates driverless services—robotaxis, robobuses, robovans, and street-sweeping robots—for cities and mobility operators. It also licenses its WeRide Driving ADAS/AV software to automakers and platform partners, including the Renault‑Nissan‑Mitsubishi Alliance, Uber, Grab, GAC, and Bosch. Founded in 2017 and headquartered in San Jose, it is publicly listed in the U.S. and Hong Kong, with deployments across dozens of cities in 13 countries.