WeRide.ai
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WeRide is seeking high potential students to work on transforming mobility through solving challenging AI and robotics problems in the Planning & Control and ML areas. Responsibilities include advancing the state of the art in these fields and working with world-class experts. Ideal candidates possess a degree in Robotics, Computer Science, or equivalent experience, with proficiency in data structures, advanced algorithms, and programming in C++ and Python.
Join WeRide.ai, a smart mobility start-up, as a Software Engineer to work on challenging AI and robotics problems. Collaborate with experts in mobility solutions to advance computer vision and ML technologies.
Specify, design, prototype, and test server or in-vehicle products. Drive performance and benchmark tests. Design and implement verification procedures. Troubleshoot system integration issues.
Architect and develop powerful and efficient cloud infrastructure platforms for autonomous driving. Resolve performance bottlenecks and build monitoring tools.
Lead the visual mapping and localization efforts by building state-of-the-art mapping pipelines and localization algorithms.
WeRide.ai is seeking a Full-Time Backend/Infrastructure Software Engineer with 3+ years of experience in the tech industry. The candidate should have a strong background in data structures, advanced algorithms, and programming languages such as C++, Java, and Python. They should also have solid knowledge and experience in Data Infrastructure. The salary range for this position is between $130,000 and $182,000 per year, depending on factors such as experience, qualifications, education, location, and skills.
Research and develop efficient, end-to-end ML solutions for Perception with sensor fusion.
Motion Planning Engineer position at WeRide.ai in Silicon Valley. Responsible for building/integrating software and algorithms for path planning, behavioral planning, and vehicle control. Requires experience in motion planning, AI, or autonomy for real-world applications. Bonus skills include knowledge of ROS, Linux, safety-critical code, SLAM, Probabilistic Filtering, reinforcement learning, and real-time sensor fusion.
WeRide.ai is seeking world-class coders to work on transforming mobility by solving challenging AI and robotics problems.
Design camera system architecture, develop camera ISP pipeline, analyze camera bandwidth and frame rate requirements, test and analyze latency of camera system, develop technical roadmap for on-vehicle cameras.
WeRide.ai is seeking world-class coders to work on transforming mobility by solving challenging AI and robotics problems. Join a team of experts and advance the state of the art in computer vision, sensor fusion, machine learning, object tracking, and motion planning.
Responsible for deploying computing platform, domain control, sensors, and driver software within autonomous driving vehicles. Leading production of new vehicle types, resolving assembly problems, improving fleet quality, locating and resolving hardware issues, and supporting vehicle development. Must have quality awareness, programming skills, and passion for autonomous driving.