WeRide.ai

Administrative Assistant

• Serve as the office ambassador, creating a welcoming and professional experience for visitors, candidates, and employees
• Support recruiting by coordinating candidate onsite interviews, ensuring a smooth and seamless experience
• Manage daily meal services and office snacks, including ordering, vendor coordination, and quality checks
• Organize and support company events, team activities, and celebrations
• Handle office supplies, mail, and general administrative tasks to keep the workplace running smoothly
• Partner with HR, Recruiting, and Operations teams to continuously improve the overall employee experience

Office Manager

Full-stack Engineer

• Build real-time, in-vehicle systems that ensure the AV operates safely and efficiently in its environment.
• Develop a high-performance, highly reliable data transport framework, and enhance the logging infrastructure to support robust data collection.
• Develop a real-time communication service framework between embedded devices and the host computer, enhancing the real-time troubleshooting capabilities of the in-vehicle system.
• Develop cloud-based and backend systems that support the AV fleet, as well as create intelligent tools for our developers.
• Design and develop new features to continuously optimize computational performance, and create tools to assist other teams by proactively informing developers of potential performance issues.
• Build services and infrastructure bridging machine learning and distributed systems, while evaluating database-related changes submitted by other engineers or community contributors.
• Work closely with other engineering teams and business groups to develop comprehensive end-to-end solutions.
• Optimize for efficient model deployment, enhance the machine learning workflow, and build and support large-scale model evaluation systems.
• Develop high-performance GPU/CPU kernels by utilizing low-level hardware features and knowledge of performance characteristics.
• Build a model conversion, evaluation, and management system.
• Develop and sustain scalable and high-performance infrastructure for training, optimizing, and deploying machine learning models.
• Work with multiple algorithm teams and optimize efficient algorithms for self-driving vehicles.

Software Engineer

• Perception team develops CV/ML algorithms to understand the surroundings of ego vehicles in real time, producing outputs for downstream modules such as prediction and planning.
• Develop and deploy cutting-edge perception and deep learning models, including computer vision models, vision-language and large language models, for real-time integration into the system.
• Create and optimize data pipelines for data mining, labeling, training, and evaluation, supporting comprehensive onboard development.
• Conduct advanced research in perception algorithms to address complex real-world scenarios (object detection, segmentation, road understanding, motion prediction).
• Leverage multi-modal sensor fusion techniques to build robust architectures tailored for autonomous driving.

Software Engineer, Computer Vision

• Design models that forecast behaviors and intentions of surrounding vehicles, pedestrians, and other dynamic agents (Prediction)
• Explore algorithms for vehicle localization and environment representation using maps, onboard sensors, and learning-based methods (Mapping & Localization)
• Contribute to motion planning and decision-making modules and vehicle control algorithms for safe, efficient driving (Planning & Control)
• Build simulation platforms with realistic sensor modeling and 3D environment reconstruction to validate and accelerate AV development (Simulation Core)
• Collaborate with perception, planning, control, and simulation teams to integrate models and support end-to-end autonomous driving systems
• Provide downstream modules with high-precision positioning, geometric and semantic scene information to enable navigation and decision-making

Software Engineer – Algorithms

Manager

• Lead design, development, and implementation of the company’s Safety Management System (SMS) tailored for autonomous vehicles
• Create, update, and enforce safety policies, procedures, and guidelines aligned with industry standards and regulations
• Conduct safety risk assessments and hazard identification; facilitate risk analysis meetings
• Ensure adherence to safety regulations and internal procedures; manage compliance
• Establish incident reporting procedures, conduct investigations, prepare reports and recommend corrective actions
• Conduct regular safety audits and inspections; lead and organize external audits when required
• Track key safety performance indicators, generate safety performance reports
• Develop and deliver safety training programs; promote a positive safety culture across the organization
• Support commercial deployment of L4 Autonomous Driving Systems in global markets and homologation in EU; report to Chief Safety Officer

SMS Manager

Artificial Intelligence

• Research and deploy AI-based approaches on simulation tools to facilitate AV algorithm development and validation
• Generate high-fidelity simulation scenarios
• Develop reasonably-behaving agents interacting with AV algorithms
• Develop AI-based methodology to evaluate simulation results
• Contribute to developing autonomous driving algorithms and evaluation systems to enhance and optimize AV technology

AI Simulation Engineer

Systems Engineer

• Develop drive-by-wire functions and software with redundancy and diagnosis
• Perform electrical and software integration and introduction of drive-by-wire systems on new autonomous vehicle platforms
• Ensure reliable vehicle operation of drive-by-wire actuators in all modes across various vehicle platforms
• Troubleshoot, triage, and provide diagnostic support for field issues related to the vehicle control system
• Collaborate with industry leaders on impactful projects and apply engineering knowledge in hands-on tasks
• Participate in mentorship, training, team-building activities, and interactive workshops to expand skills

Intern - Vehicle Embedded Engineer, DBW

Data Scientist

• Support development and validation of L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems through foundational data analysis
• Extract, clean, and manipulate datasets using Python and SQL to support system performance assessments
• Apply advanced statistical methods (e.g., hypothesis testing, regression) to interpret behavioral data, identify trends, and evaluate system performance
• Create clear visualizations to communicate insights to engineers and stakeholders
• Work with simulation, engineering, and product teams to integrate evaluation feedback
• Contribute to ensuring the safety and reliability of autonomous driving technologies

Data Science Intern

Data Engineer

• Assist in designing, building, and deploying systems for implementing and tracking key performance indicators (KPIs) and engineering metrics.
• Contribute to the development and maintenance of distributed data processing pipelines and system performance evaluation frameworks.
• Work closely with mentors and team members across data science, engineering, and product management to understand data needs and contribute to effective solutions.
• Help investigate and resolve stability and performance issues in our data ingestion and processing platforms to ensure our systems run smoothly.
• Support our data integrity monitoring and validation systems to ensure that company-wide metrics are based on accurate and reliable data.