Perception & CV Engineer for Real-Time Autonomy

Weride

San Jose (CA)

On-site

USD 34,000 - 55,000

Full time

11 days ago

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Benefits offered by this job

Premium Medical, Dental and Vision
Free Daily Breakfast, Lunch and Dinner
Paid vacations and holidays
401K plan

Job summary

WeRide in San Jose, CA invites talented students to join the AI team as an intern to help build perception models for autonomous driving. You'll work on real-time CV/ML algorithms and sensor fusion for Level 2-4 systems.

You'll contribute to data pipelines, labeling, training, and evaluation, and explore multi-modal data from LiDAR and cameras. The role emphasizes strong programming in C++ or Python, robotics foundations, and ongoing collaboration with a global team; graduation between Dec 2026

Qualifications

  • Pursuing CS/Robotics degree with graduation between Dec 2026 and Jun 2027.
  • Strong programming in C++ or Python.
  • Experience in ML, robotics, CV, data mining, or LiDAR.
  • Solid foundation in data structures and 3D geometry.

Responsibilities

  • Develop and deploy perception and DL models for real-time integration.
  • Create and optimize data pipelines for data mining, labeling, training, evaluation.
  • Conduct research in perception algorithms for object detection, segmentation, motion prediction.
  • Leverage multi-modal sensor fusion for robust autonomous driving architectures.

Skills

C++
Python
Machine learning
Robotics
Computer vision
Data mining
LiDAR

Education

Pursuing Bachelor's degree in Computer Science, Robotics, or related field

Job description

WeRide in San Jose, CA invites talented students to join the AI team as an intern to help build perception models for autonomous driving. You'll work on real-time CV/ML algorithms and sensor fusion for Level 2-4 systems.

You'll contribute to data pipelines, labeling, training, and evaluation, and explore multi-modal data from LiDAR and cameras. The role emphasizes strong programming in C++ or Python, robotics foundations, and ongoing collaboration with a global team; graduation between Dec 2026

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