Machine Learning Engineer up to Sr. (Hsinchu/Taipei) Full-time

Company:
Qualcomm Semiconductor Limited

Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Qualcomm’s Multimedia R&D computer vision Group is seeking passionate candidates with expertise in Computer Vision and Computer Graphics. The team is developing advanced AI and deep learning algorithms, architectures, and systems for applications enriching the embedded systems for Smartphone 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 applications on Android/windows/Linux platforms. Research and develop efficient deep learning architectures and models for AI-enabled camera and extended reality. This includes but not limited to generative text-to-image/video model, face analysis, face and body pose detection, face and body synthesis and editing with GenAI, and 3D body/face reconstruction/editing from 2D images.

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 like Computer Vision or Computer Graphics.
• 2+ years of experience developing practical deep learning algorithms using PyTorch, TensorFlow, or other deep learning frameworks.
• Solid Background in software development, Computer Vision or Computer Graphics.
• Solid background in machine/deep learning fundamental knowledges and mathematics.
• Proficiency in C/C++ and Python programming.

Preferred Qualifications

• Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software.
• Professional experience in GUI and Unreal Engine/Unity 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.
• Excellent written and verbal communication skills.
• Track record of driving ideas from design through commercialization.
• Experience in computer vision algorithm design development and integrating machine learning algorithm into camera systems.
• Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization.
• Team Player.

Minimum Qualifications

Master’s – Computer Science, Master’s – Engineering, Master’s – Information Systems

Skills:

Software architecture, AI Frameworks, Calculus, Data Manipulation, Deep Learning, Computer Vision, Computer Graphics, Machine Learning, Performance Optimization, Python, Statistics.

Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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If you would like more information about this role, please contact Qualcomm Careers.