O
Senior/Staff Algorithm Engineer
OMNIVISION Technologies Singapore
Singapore · Full Time
Be the first to apply
- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 1 day ago
- Work mode
- In office
- Education
- Bachelor’s degree or higher
- Resume
- Required to apply
Where you'll work
Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.
Job description
Role Overview
OMNIVISION Technologies Singapore is recruiting a Senior or Staff level Algorithm Engineer to design and refine sophisticated image and video processing algorithms tailored for camera applications.
Key Responsibilities
- Develop and research cutting-edge image processing, color processing, and computer vision algorithms specifically for digital camera systems.
- Improve and extend current algorithmic solutions to enhance features, image quality, and overall system performance.
- Work closely with hardware design teams to assist in algorithm integration, optimization, and verification.
- Conduct image quality tuning, evaluation, and benchmarking exercises to assess and improve results.
- Maintain thorough documentation on algorithms, design processes, and validation outcomes.
- Create technical demonstrations and offer support for presentations both internally and externally.
- Collaborate with cross-functional teams and external partners to ensure alignment on system requirements and deliverables.
Qualifications and Experience
- Degree in Electrical Engineering, Computer Science, or a closely related discipline: Bachelor's, Master's, or PhD level.
- Strong expertise in camera image processing or computer vision algorithm development.
- Solid grasp of digital photography fundamentals including image quality measurement and assessment techniques.
- Proficient programming skills in C/C++ and Python.
- Excellent analytical abilities, organizational skills, and capabilities in technical writing.
Preferred Qualifications
- Experience working with multimodal imaging, neuromorphic vision systems, or deep learning frameworks.
- Knowledge of image sensors, image signal processor (ISP) pipelines, color science, and image quality metrics.
- Practical experience implementing and deploying image processing algorithms on hardware or embedded platforms.
Minimum education
Bachelor's Degree
Skills
How they work
Problem Solving
Organisation