Vision Perception Algorithm 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

Job Responsibilities

• Research in vision perception algorithms like 3D vision, VLM/VLA, Word Model, bad weather perception,


• Research, design, and implement advanced perception algorithms in one or more of the following areas:


• 3D vision (stereo vision, structure-from-motion, SLAM, LiDAR-camera fusion, depth estimation).


• Vision-Language Models (VLMs) /Vision-Language Alignment (VLA)


• World models for robotics and autonomous driving perception & prediction.


• Perception robustness under adverse weather conditions (rain, snow, fog, low-light, etc.)


• Collaborate with cross-functional teams in sensor fusion, planning, and control to deliver end-to-end solutions.


• Publish research findings, file patents, and keep track of cutting-edge academic and industrial progress in the field.


• Contribute to scalable deployment of algorithms on embedded platforms.

Job Requirements

• 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 following areas:


• 3D vision (stereo, SLAM, depth estimation, LiDAR-camera fusion)


• Vision-Language Models (VLMs) / Vision-Language Alignment (VLA)


• World models (representation learning, dynamics modeling, prediction for autonomous agents)


• Adverse weather perception (domain adaptation, sensor fusion, image enhancement, etc.)


• Proficiency in programming languages such as Python,C++, and deep learning frameworks (PyTorch, TensorFlow).


• Solid publication record in top-tier conferences/journals (CVPR, ICCV, ICRA, NeurIPS, etc.) is highly desirable.


• Experience in autonomous driving (ADAS) or robotics platforms.


• Familiarity with real-time system optimization and deployment on embedded/edge hardware (GPU, TPU, NPU, ASIC, etc.).


• Knowledge of multimodal perception and sensor fusion.


• Strong problem-solving, collaboration, and innovation mindset.

We regret to inform that only shortlisted candidates will be notified.