Weride73mo ago

Perception Engineer – ML/CV and Algorithms

United States·San JoseFull-timemid

OtherPerception Engineer

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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

cppdata-analysismachine-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.

WeRide.ai Silicon Valley team is looking for Perception engineer to implement the next generation automotive vision and machine learning algorithms.

Research and develop efficient, end-to-end ML solutions for Perception with sensor fusion, including but not limited:

Obstacle detection and understanding (e.g. obstacles’ 3D location, motion properties, and fine-grained attributes)

Understanding of the drivable space and 3D occupancy

Map sensing (e.g. lane boundary and topology)

Scene understanding (e.g traffic light, short/long-term intent of vehicles, construction zone, etc.)

Develop efficient and robust onboard system

Develop efficient offboard “loop” to allow fast iteration on long-tail scenarios

Have strong abilities in both algorithms and C++ coding; or have strong expertise in at least one of these fields: computer vision, machine learning, and model optimization

Solid skills in problem solving, algorithms, and data analysis

Good communication and coordination skills

Self-motivated and believe in the future of self-driving-cars

Rich experience in C++ development, multithreading, memory management, computing optimization

Rich experience in multi-sensor fusion and 3d/2d tracking

Publications on top-tier conferences and journals