Vision Perception Algorithm Engineer

Beijing Foreign Enterprise Management Consultants Co.,Ltd.; Singapore; On-site; SGD 100,000 - 160,000; Full time

Job summary

Huawei is seeking a Vision Perception Algorithm Engineer to join our advanced robotics and autonomous systems team. The role focuses on research and development of perception algorithms, world models, and robustness under adverse weather, with emphasis on embedded deployment.

The ideal candidate holds a PhD in a related field, has strong Python/C++ skills, experience with PyTorch/TensorFlow, and a track record of impactful publications in top venues.

Qualifications

• PhD in computer vision, robotics, or related field required; fresh graduates welcome.
• Expertise in world models or adverse weather perception and sensor fusion.
• Proficiency in Python and C++, with experience in PyTorch or TensorFlow.
• Strong publication record in top conferences desirable.

Responsibilities

• Research and design perception algorithms for 3D vision and world models.
• Implement algorithms and validate them on embedded platforms.
• Collaborate with cross-functional teams across robotics, planning, and control.
• Publish research findings in top-tier venues and file patents as appropriate.
• Contribute to scalable deployment of algorithms on embedded/edge hardware.

Skills

World models

Adverse weather perception

Python

C++

PyTorch

TensorFlow

CVPR publications

ADAS experience

Embedded deployment

Sensor fusion

Education

PhD in Robotics

Job description

On behalf of Huawei, a world-renowned information and communication technology company, we are seeking passionate and talented individuals to join our team as Vision Perception Algorithm Engineer

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:
• 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.

Required Qualifications:

• PhD in Computer Science, Robotics, Electrical Engineering, or related field with a focus on computer vision, machine learning, or robotics perception, fresh PhD graduates are welcome to apply.
• Proven expertise in one or more of the following areas:
• 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.