Autonomous Vision Perception Engineer

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 80,000 - 140,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. is seeking a Research Engineer to advance perception algorithms for autonomous systems.

You will explore 3D vision, VLMs, and world models, collaborating with cross-disciplinary teams to deliver end-to-end solutions. The role emphasizes publication readiness and practical deployment on embedded hardware. Ideal candidates have strong Python/C++ skills and a track record in CVPR/ICCV/NeurIPS etc., with experience in autonomous driving or robotics perception.

Qualifications

• Bachelor degree or above in Computer Science, Robotics, Electrical Engineering, or related field with a focus on computer vision, machine learning, or robotics perception.
• Proven expertise in one or more of the listed areas (3D vision, VLMs/VLA, world models, adverse weather perception).
• Proficiency in Python and C++, and deep learning frameworks (PyTorch, TensorFlow).
• Solid publication record in top-tier conferences/journals is highly desirable.

Responsibilities

• Research and implement advanced perception algorithms across 3D vision, VLMs/VLA, and world models.
• Collaborate with sensor fusion, planning, and control teams to deliver end-to-end solutions.
• Publish research findings and file patents when applicable.
• Contribute to scalable deployment of algorithms on embedded platforms.

Skills

3D vision

SLAM

VLMs

VLA

World models

adverse weather perception

sensor fusion

embedded deployment

Python

C++

PyTorch/TensorFlow

publication record

autonomous driving

Education

Bachelor's degree or higher in CS/Robotics/EE with CV focus

Tools

Python

C++

PyTorch

TensorFlow

Job description

PERSOL SINGAPORE PTE. LTD. is seeking a Research Engineer to advance perception algorithms for autonomous systems.

You will explore 3D vision, VLMs, and world models, collaborating with cross-disciplinary teams to deliver end-to-end solutions. The role emphasizes publication readiness and practical deployment on embedded hardware. Ideal candidates have strong Python/C++ skills and a track record in CVPR/ICCV/NeurIPS etc., with experience in autonomous driving or robotics perception.