Senior Staff Algorithm Engineer (Computer Vision)

OMNIVISION TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading developer of digital imaging solutions is seeking an Algorithm Engineer to focus on researching and developing advanced computer vision and deep learning algorithms. The successful candidate will be involved in optimizing imaging applications, design new features for CMOS image sensors, and integrate algorithms into camera pipelines. Candidates should have a Ph.D. or M.S. in a relevant field, strong skills in C/C++ and Python, and a solid background in mathematical principles. This role is based in Singapore.

Qualifications

• Ph.D. or M.S. (or equivalent experience) in Electrical Engineering, Computer Science, Computational Imaging, Applied Mathematics, or related fields.
• Broad knowledge of computer vision and deep learning.
• Proficient in C/C++ and Python.

Responsibilities

• Research, develop, and optimize computer vision and deep learning algorithms.
• Design and implement algorithms/features based on product requirements.
• Test, validate, and integrate algorithms into camera pipelines.

Skills

Computer vision

Deep learning

C/C++

Python

Communication skills

Education

Ph.D. or M.S. in relevant fields

Tools

Deep learning frameworks

Job description

OMNIVISION is a leading developer of advanced digital imaging solutions for a variety of industrial and consumer markets such as automotive, medical imaging, mobile devices, surveillance, AR/VR/drones/robotics, and notebook & entertainment.

Position Overview

• We are seeking an Algorithm Engineer to research and develop advanced computer vision and deep learning algorithms for imaging applications.

Responsibilities

1. Research, develop, and optimize computer vision and deep learning algorithms for image applications such as object recognition, video analytics, and image enhancement.
2. Design and implement new algorithms/features using deep learning for CMOS image sensors based on product requirements.
3. Test, validate, and integrate algorithms into camera pipelines or embedded systems.
4. Stay current with state-of-the-art research and propose innovative solutions for vision and image quality challenges.

Experience & Skills

1. Ph.D. or M.S. (or equivalent experience) in Electrical Engineering, Computer Science, Computational Imaging, Applied Mathematics, or related fields.
2. Broad knowledge of computer vision, deep learning, object recognition/tracking, or 3D reconstruction; experience with image sensors, ISP pipelines, color science, or image quality metrics is a plus.
3. Proven experience in independent algorithm research; strong mathematical background preferred.
4. Proficient in C/C++ and Python; familiar with deep learning frameworks.
5. Excellent communication skills and ability to collaborate across teams.