New Grads 2026 - Software Engineer, Algorithm position at WeRide.| United States Of America

_2025-08-28 bot

WeRide New Grads 2026 - Software Engineer, Algorithm

Experience: General

Pattern: Full-time

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San Jose, CA....United States Of America

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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.\n What You May Work On:<ul><li>Prediction: Design models that forecast the behaviors and intentions of surrounding vehicles, pedestrians, and other dynamic agents, enabling safer driving decisions</li><li>Mapping & Localization: Explore algorithms for vehicle localization and environment representation, leveraging maps, onboard sensors, and learning-based methods to ensure reliable positioning in diverse conditions</li><li>Planning & Control: Contribute to motion planning and decision-making modules that support safe, efficient, and human-like driving behaviors, as well as robust vehicle control algorithms</li><li>Simulation Core: Build simulation platforms with realistic sensor modeling and 3D environment reconstruction to accelerate the validation and development of autonomous driving technologies</li></ul> Qualifications:<ul><li>MS/PhD degree in Robotics, Computer Science, Physics, Computer Vision, Graphics, Machine Learning, Automation or equivalent practical experience, with an expected graduation date between December 2025 and June 2026.</li><li>Proficient in C++ and/or Python with knowledge of its latest features.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication, and cross-functional team collaboration abilities. </li><li>Passion for innovation in the autonomous vehicle industry.</li></ul> Bonus Points: <ul><li>Published research presented at leading machine learning or robotics conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.</li><li>Proficient in machine learning frameworks, such as TensorFlow or PyTorch.</li><li>Experience in open-source competitions or challenges related to autonomous driving.</li></ul> Team Introductions:<ul><li>Prediction Team:</li></ul><div>The Prediction team liaises with the perception team upstream and the planning and control team downstream. We develop diverse deep learning models using perceptual information to forecast potential future behaviors of nearby obstacles. In scenarios lacking sufficient data, the prediction team generates predictions and supplements through analysis of scene features and logical reasoning.</div><ul><li>Planning and Control Team:</li></ul><div>The main goal of the planning and control team is to find safe driving strategies in complex autonomous driving environments. We ensure safe, efficient navigation by designing algorithms for route planning and vehicle control to respond to dynamic conditions. Our work integrates sensor data and predictive models to make real-time decisions for smooth and reliable autonomous driving.</div><ul><li>Mapping and Localization Team:</li></ul><div>The mapping and localization team is responsible for high-definition mapping and high-precision localization systems for our entire autonomous fleet. We provides down-stream modules, e.g. perception, prediction, planning and control, with accurate and real-time positioning as well as detailed geometric and semantic information of the surroundings, to help the autonomous vehicle navigate the world. A variety of underlying technologies are employed to build the mapping and localization systems, including multi-sensor fusion, visual/lidar SLAM, 3D computer vision and deep learning.</div><ul><li>Sim Core Team:</li></ul><div>The Sim Core group focuses on developing the core simulation capabilities necessary to support company-wide AV development and validation. This team will work on our overall simulation strategies, sensor simulation for perception, AI simulation for prediction, planning and control, full-stack simulation, and the generation and editing of 3D worlds.</div> \n<div>$120,000 - $165,000 a year</div><div>Your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $120,000 - $165,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.</div>\nWhat Happens Next: We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 4-5 interviews with your future colleagues to better inform our decision. During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process. We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today! <a class="postings-link" href="http://weride.ai/">WeRide.ai</a> offers competitive salary depending on the experience. Employee benefits include:Premium Medical, Dental and Vision Plan (No cost from employees or their families)Free Daily Breakfast, Lunch and DinnerPaid vacations and holidays401K plan

New Grads 2026 - Software Engineer, Algorithm job opportunity at WeRide.

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