Skip to content
Esc
Internships in Canada
New-grad roles in Canada
Remote roles
Roles that show pay
Postings at high ghost risk
PayWhat student tech roles in Canada pay
Check a linkPaste a posting to see its real age and ghost risk
JobsEvery open tech role
CompaniesWho fills fastest, who leaves postings up
Hiring calendarWhen employers open intern and new-grad roles
Skills gapWhat postings ask for that you don't have
Your resumeScore and fixes
Your matchesOpen roles ranked by your resume
ApplicationsSaved, applied, interviewing, offers
SettingsTheme, text size, motion
How it works

↑ ↓ to move, Enter to open? every shortcut

Keyboard shortcuts

CtrlKor/
Search employers, postings and pages
JorK
Next or previous posting in a list
O
Open the posting's page
Enter
Open it in the preview, on wide screens
S
Save or unsave it
?
This list
Esc
Close
WeRide

New Grads 2026 - General Software Engineer (Beijing/Guangzhou/Shanghai, China)

  • Seen live on WeRide's site 3 days ago
  • Mid level
Pay
Not stated
Location
China
Open for
17+ days
First seen
Oct 18, 2026
Apply on WeRide's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. WeRide's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking WeRide, so its true age is longer.

Last checked Nov 1, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

Equivalent experience accepted instead of a degree
“Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, or a related technical field, or equivalent practical experience, with an expected graduation date before December 2026 .” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

WeRide is a smart mobility start-up whose mission is to transform mobility with autonomous driving. We are committed to build better transportation experience that’s safe, efficient, affordable and joyful. We have an elite team of entrepreneurs and technologists who share the same passion and pursue continuous excellence in their work.

This NG position is based in Beijing, Guangzhou, or Shanghai, China.

What you will do

  • 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.

Qualifications

  • Pursuing a BS/MS degree in Computer Science, Software Engineering, Mathematics, or a related technical field, or equivalent practical experience, with an expected graduation date before December 2026 .
  • Proficient in C++ and/or Python, Java, Go with knowledge of its latest features.
  • Have good programming practices, adhere to coding standards, and follow test-driven development.
  • Strong analytical and problem-solving skills.
  • Excellent communication, and cross-functional team collaboration abilities.
  • Passion for innovation in the autonomous vehicle industry.

Bonus Points

  • Experience with field robotics and systems design
  • Experience with distributed systems, possesses design and debugging skills for complex system software, familiar with common design patterns and architectural trade-offs
  • Familiar with OS kernel and low-level system and computer architecture understanding
  • Familiar with GPU architecture

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 3-4 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!

More about WeRide: https://www.weride.ai/

Something wrong with this posting?