aimlroles

New Grads 2027 - Software Engineer - Perception/Computer Vision

WeRide.ai weride.ai Open · verified Oct 22, 2026
On-site San Jose Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at WeRide.ai. San Jose · full-time · $120,000–$165,000 base.

SalaryStated by WeRide.ai
$120,000 – $165,000
Base salary for this role, in USD per year, as published in the posting.
RoleMachine Learning Engineering
SeniorityMid-level
LocationSan Jose
WorkplaceOn-site
EmploymentFull-time
Base pay$120,000–$165,000
PostedAug 10, 2026 · 2mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and deploy computer vision and deep learning models, including language-enabled models, for real-time use in the system
  • Develop data workflows for mining, labeling, model training and evaluation across onboard development
  • Research perception methods for object detection, segmentation, road understanding and motion prediction in complex scenarios
  • Combine information from multiple sensor types to strengthen autonomous-driving perception systems

What you bring

  • You are pursuing a degree in computer science, robotics or a related area, with graduation expected between December 2026 and June 2027
  • You have strong programming skills in C++ or Python and experience in machine learning, robotics, computer vision, data mining or LiDAR
  • You understand data structures, 3D geometry, advanced algorithms and core robotics topics such as state estimation and visual odometry
  • You bring solid software and computing fundamentals

Who this fits

This role is aimed at students graduating in the stated period and is based onsite in San Jose. It suits someone focused on perception or computer vision engineering; the work centers on developing algorithms and models rather than managing a team.

From the employer

Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops autonomous driving technologies from Level 2 to Level 4 and is the world's first publicly listed autonomous vehicle (AV) company. Its business footprint now spans more than 60 cities across 13 countries. Powered by the intelligent, versatile, and highly adaptable WeRide One platform, the company provides autonomous driving products and services ranging from Level 2 to Level 4, addressing mobility, logistics, and urban services.

What you will do:

  • Team Introduction:
    • The AI team is responsible for developing CV/ML algorithms to understand the surroundings of ego vehicles in real time , including obstacle detection, online mapping, and scene understanding. The perception system takes inputs from multiple sensors across time, and outputs various obstacle-level and scene-level understandings for downstream modules such as prediction and planning, etc. In the AI team, you will:
  • Develop and deploy cutting-edge perception and deep learning models, including computer vision models, vision-language and large language models (VLMs and LLMs), for real-time integration into our 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, focusing on areas like object detection, segmentation, road understanding, and motion prediction.
  • Leverage multi-modal sensor fusion techniques to build robust architectures tailored for autonomous driving.

Qualifications:

  • Currently pursuing a degree in Computer Science, Robotics, or a related field, with an expected graduation date between December 2026 and June 2027.
  • Strong programming experience in C++ or Python.
  • Experienced in one or more of the following areas: machine learning, robotics, computer vision, data mining, LiDAR.
  • Knowledgeable in data structures, 3D geometry, and advanced algorithms.
  • Solid foundation in core robotics principles, including state estimation, 3D reconstruction, and visual odometry.
  • Excellent software and computing fundamentals.

Bonus Points:

  • Experience with Large Language Models (LLM) or Vision Language Models (VLM)
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