Search the 18 jobs at WeRide.ai

As a Software Engineer Intern at WeRide, you will develop and deploy perception and deep learning models for autonomous driving, optimize data pipelines, conduct research in perception algorithms, and collaborate with cross-functional teams on the WeRide platform.

As a Software Engineer specializing in algorithms at WeRide, you will develop and optimize computer vision and machine learning models for autonomous vehicles. You will work with data from autonomous driving simulations and road tests to resolve motion planning issues, collaborating with various teams to enhance vehicle perception and decision-making capabilities.

As a General Software Engineer at WeRide, you will build real-time systems for autonomous vehicles, develop high-performance data frameworks, enhance cloud-based services for AV fleet support, and optimize machine learning models. Collaboration with various engineering teams to create robust solutions is key.

The GPU Model Optimization Engineer will analyze and optimize GPU applications, develop GPU-accelerated algorithms, and provide technical guidance to the team. The role involves performance analysis, memory optimization, and keeping up with industry trends in GPU technology.

The CPU Algorithm Optimization Engineer will enhance software applications' performance on CPUs by optimizing algorithms, refining code, and utilizing multi-threading and parallel processing techniques. Collaboration with development teams and writing technical documentation are also key responsibilities.

The Project Manager will oversee the deployment, testing, and operation of autonomous vehicles in Singapore. Responsibilities include project planning, communication with stakeholders, scheduling tests, and ensuring smooth operations and maintenance of the vehicles.

The Machine Learning Engineer will develop and optimize algorithms for Multi-Agent Planning, 3D Reconstruction, and World Model tasks in autonomous driving. Responsibilities include designing path planning algorithms, improving 3D reconstruction, collaborating across teams, conducting performance analysis, and staying updated on research.

Lead the design and implementation of testing plans for L4-level autonomous driving vehicles, conduct functional testing, oversee testing and operational work in Singapore, monitor and optimize system performance, travel for business trips to deploy projects globally.

Develop and implement government engagement strategies, establish strategic partnerships, understand market trends, drive business development, and ensure the healthy operation of local businesses.

The Senior Software Engineer will architect and develop scalable PaaS and IaaS platforms for autonomous driving, improve performance efficiency, create profiling tools, and develop monitoring systems for engineering teams. They will work with cloud technologies to support the business needs of WeRide.

The Software Engineer will lead visual mapping and localization efforts by building mapping pipelines that utilize various sensor data and apply localization algorithms in real time. The role requires expertise in visual SLAM, probabilistic filtering, and experience with computational algorithms in challenging environments.

The Perception Engineer will research and develop efficient machine learning solutions for perception using sensor fusion, focusing on obstacle detection, drivable space understanding, mapping, and scene understanding. Responsibilities include developing robust onboard systems and fast iteration loops for long-tail scenarios.

As a Motion Planning Engineer, you will develop and integrate algorithms for path and behavioral planning in autonomous vehicles. This includes real-time software development that ensures the safety and efficiency of driverless technologies. You'll leverage skills in AI, robotics, and numerical optimization to craft solutions for complex motion planning problems.

WeRide.ai is seeking a Backend/Infrastructure Software Engineer to develop large-scale infrastructure and tackle challenging AI and robotics problems. Candidates must have strong knowledge in data structures, advanced algorithms, and experience with C++, Java, and Python.

As a Machine Learning Engineer at WeRide, you will work on developing and enhancing predictive modeling and anomaly detection within autonomous driving technologies. Collaborating with a team, you will implement active learning strategies and distributed learning algorithms to tackle complex problems and advance mobility solutions.

WeRide is seeking a General Software Engineer to develop autonomous driving technologies. The role involves solving AI and robotics challenges, focusing on computer vision, sensor fusion, and machine learning, while collaborating with experts in mobility solutions.

As a Software Engineer intern, you will work on developing and maintaining software for autonomous driving systems, build real-time in-vehicle systems, design new features to optimize performance, and collaborate with various teams to enhance self-driving vehicle algorithms.

As a Summer Intern at WeRide, you will work on developing machine learning solutions for autonomous driving, including tasks in perception, prediction, mapping, and more. You'll be part of a team contributing to innovative technology, with opportunities to learn and implement software for various vehicles.