New Grads 2026 - Software Engineer, Algorithm
Company: WeRide.ai
Location: San Jose
Posted on: April 1, 2026
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Job Description:
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. What You May Work On: Prediction : Design models that
forecast the behaviors and intentions of surrounding vehicles,
pedestrians, and other dynamic agents, enabling safer driving
decisions 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 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 Simulation Core : Build simulation
platforms with realistic sensor modeling and 3D environment
reconstruction to accelerate the validation and development of
autonomous driving technologies Qualifications: 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 . Proficient in C++ and/or Python with knowledge of its latest
features. Strong analytical and problem-solving skills. Excellent
communication, and cross-functional team collaboration abilities.
Passion for innovation in the autonomous vehicle industry. Bonus
Points: Published research presented at leading machine learning or
robotics conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV,
IROS, or ICRA. Proficient in machine learning frameworks, such as
TensorFlow or PyTorch. Experience in open-source competitions or
challenges related to autonomous driving. Team Introductions:
Prediction Team: 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. Planning and Control Team: 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. Mapping and Localization
Team: 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. Sim Core Team: 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. $120,000 -
$165,000 a year 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. What 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!
WeRide.ai 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 Dinner Paid vacations and holidays 401K plan We may use
artificial intelligence (AI) tools to support parts of the hiring
process, such as reviewing applications, analyzing resumes, or
assessing responses. These tools assist our recruitment team but do
not replace human judgment. Final hiring decisions are ultimately
made by humans. If you would like more information about how your
data is processed, please contact us.
Keywords: WeRide.ai, Fremont , New Grads 2026 - Software Engineer, Algorithm, Engineering , San Jose, California