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Urgent! AI Optimization Engineer - On-Device Intelligence Job Opening In Singapore, Singapore – Now Hiring Michael Page

AI Optimization Engineer On Device Intelligence



Job description

AI Optimization Engineer - On-Device Intelligence

Join to apply for the AI Optimization Engineer - On-Device Intelligence role at Michael Page.

Be among the first 25 applicants.

3 days ago.

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.

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.

Contact

Lydia Chen (Lic No: R / EA no: 18C9065)

© Michael Page International Pte Limited, company number N operates under the EA Licence Numbers of 18S9099 and 18C9065.

#J-18808-Ljbffr


Required Skill Profession

Software Architecture & Engineering



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