Work at the frontier of AI and mobile technology
- Join a global-scale R&D team driving innovation in embedded intelligence
About Our Client
Our client is a global technology company with deep expertise in advanced imaging sensors and AI systems .
Their R&D center in Singapore focuses on the seamless integration of artificial intelligence with next-generation hardware platforms, driving innovation across mobile, embedded, and intelligent device applications.
The team combines world-class engineering talent with a culture of creativity, collaboration, and technical excellence.
Job Description
- Design and optimize core frameworks and SDKs for mobile platforms, ensuring high efficiency and stability.
- Co-develop algorithms and software to enhance computer vision capabilities, including both traditional and deep learning approaches.
- Create and optimize algorithm strategies for mobile AI scenarios such as imaging, AR, and gesture recognition.
- Collaborate with cross-functional teams to deploy and fine-tune algorithms across multiple mobile chipsets.
- Continuously evaluate and improve algorithmic performance through rigorous testing and optimization.
The Successful Applicant
- Bachelor's or Master's degree in Computer Science, Electronics, or related fields .
- Strong C/C++ programming skills with solid understanding of data structures, algorithms, and software architecture .
- Experience with computer vision , GPU programming (OpenCL, CUDA) , or deep learning optimization .
- Familiarity with Linux development and mobile SDK deployment .
- Highly analytical, detail-oriented, and able to work effectively in collaborative, cross-disciplinary teams.
- Prior experience with mobile chipsets (Qualcomm, MediaTek) is a strong plus.
What's on Offer
- Opportunity to work on cutting-edge AI algorithms integrated with advanced sensor technologies.
- Collaborative and innovation-driven R&D culture.
- Exposure to global projects and multi-disciplinary engineering teams.
- Continuous learning opportunities in AI, computer vision, and embedded systems.
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