Computer Vision & AI Engineer, Up to Senior Level

Location: Taipei, Taipei City, Taiwan

Department: Software Engineering; Machine Learning Engineering

Work Location: onsite

Company:

Qualcomm Semiconductor Limited

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Overview

Qualcomm's Multimedia R&D computer vision Group is seeking passionate candidates with expertise in Computer Vision and AI. The team is developing advanced AI and deep learning algorithms, architectures, and systems for applications enriching the embedded systems for Smartphone, IoT and Extended Reality.

The candidate should bring a deep understanding in computer vision or computer graphics, exhibiting excellent analytical and algorithm development skills and proficiency in Python and C/C++ programming.

The selected candidate will have responsibilities in the following areas:
• System architecture design and development of computer vision SDK and applications on Android/windows/Linux platforms.
• Develop efficient deep learning architectures and models.

Must have Qualifications
• Master's or PhD degree in Electrical Engineering, Computer Science, and/or closely related field.
• 3+ years of professional experience in computer deep learning software development for applications.
• 2+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks.
• Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software.
• Excellent software design, problem solving and debugging skills.
• Solid Background in software development, Computer Vision or Computer Graphics.
• Solid background in machine/deep learning fundamental knowledge and mathematics.
• Proficiency in C/C++ and Python programming.

Preferred Qualifications
• Professional experience in GUI and gstreamer development is preferred.
• Expertise in various networks architectures such as VAE, GAN, diffusion, transformer, Gaussian Splatting, NeRF, U-Nets, ResNets models.
• Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing.
• Experience of LLM code assistant for engineering work.
• Experience with Qualcomm platforms for example SNPE, QNN, QAIRT.
• Excellent written and verbal communication skills.
• Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization.
• Team Player.

Education Requirements
• Master’s degree in Computer Science, Electrical Engineering, or Information Systems

Keywords
• Software architecture, AI Frameworks, Data Manipulation, LLM, Deep Learning, Computer Vision, Computer Graphics, Machine Learning, Performance Optimization, Python, Forensic search.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

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