Vision Perception Algorithm Engineer

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. is seeking researchers in vision perception to develop and deploy advanced perception algorithms for robotics and autonomous systems. The role emphasizes 3D vision, VLMs/VLA, and world models with an aim to robustly perceive in diverse conditions.

Candidates should have a strong background in computer vision, ML, and robotics perception, with publication experience and experience in deploying on embedded platforms. Collaboration with cross-functional teams is essential.

Qualifications

• Bachelor degree or above in CS/Robotics/EE with focus on computer vision, ML, or robotics perception.
• Proven expertise in 3D vision, VLMs/VLA, world models, or adverse weather perception.
• Proficiency in Python, C++, and DL frameworks (PyTorch, TensorFlow).
• Publication record in top conferences (CVPR/ICCV/ICRA/NeurIPS) desirable.

Responsibilities

• Research and implement advanced perception algorithms in 3D vision, VLM/VLA, and world models.
• Collaborate with sensor fusion, planning, and control teams to deliver end-to-end solutions.
• Publish findings and pursue patents while tracking progress in the field.
• Contribute to scalable deployment of algorithms on embedded platforms.

Skills

Python

C++

PyTorch

TensorFlow

Deep learning

Robotics perception

Education

Bachelor degree or above in CS/Robotics/EE

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.