Weride15mo ago

Systems Engineer

United States·San JoseFull-timemid

Systems EngineerInfrastructure & Cloud

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Quick Summary

Overview

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4.

Technical Tools

machine-learning

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4. WeRide is the only tech company in the world that holds driverless permits in China, the UAE, Singapore and the US, conducting autonomous driving R&D, tests and operations in over 30 cities of 10 countries around the world. WeRide has operated a self-driving fleet for more than 2,200 days.

We are looking for several experienced and innovative systems engineers to develop and validate both L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems. The level depends on the candidate's experience and qualification.

Conduct systems engineering analyses to accelerate system development and support business goals

Define ADAS and AD system performance metrics, measure and monitor system performance, provide feedback to software development teams

Develop system validation strategy, break system level performance metrics down to subsystem performance requirements, develop test methodologies and test suites to quantify system and subsystem performance, highlight performance gaps

Assess readiness of commercial deployment in different ODDs to support leadership decisions

Conduct safety risk assessment in the framework of Safety Management Systems (SMS)

Develop ADAS and AD system architecture with different vehicle platforms

Ensure ADAS and AD systems comply with regulatory requirements, support the development of safety cases

Work closely with engineering, product and operations teams to ensure system performance goals are met

Mentor junior systems engineers, build a collaborative and innovative work environment

Deep understanding of system engineering principles and methodologies, with a strong focus on ADAS and AD technologies

Deep understanding of AI-based system metrics development and performance validation, familiarity with Machine Learning technologies

Pragmatic and innovative, able to solve complex problems with minimum resources

Clear verbal and written communications

Bachelor's or Master's degree in Engineering, Computer Science, or related field

Flexibility to work with teams in different time zones