Computer Vision Engineer, Senior

Jobinhalt

Company

Qualcomm Semiconductor Limited

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

Summary

General Summary:

Qualcomm’s Multimedia R&D and Standards Group is seeking passionate candidates with expertise in Computer Vision or 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.

Responsibilities

The selected candidate will have responsibilities in one or more of the following areas

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

• Research and develop efficient deep learning architectures and models for AI-enabled camera and extended reality. This includes but not limited to facial animation, image restoration, image super-resolution, multi-view 3D reconstruction and hair simulation.
• Prototype solutions on mobile platforms for proof of concept and demonstration purposes, such as mode training and testing, model quantization, C/C++ simulation implementation.
• Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking.
  
  

Must Have Qualifications

• Master’s or PhD degree in Electrical Engineering, Computer Science, and/or closely related field.
• 2+ years of 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 Computer Vision or Computer Graphics, Deep Learning, and Linear Algebra
• Knowledge how to handle various 3D Data representations like meshes (Raw/Retopologized), Point Clouds and UV Maps.
• Proficiency in C/C++, OpenGL, Python, Pytorch programming.
• Self-motivated and strong desire to learn new technologies, design novel techniques and propose them for technology commercialization.
• Excellent English communication skills.
  
  

Preferred Qualifications

• Expertise in various networks architectures such as Generative Adversarial Networks, Variational Auto-Encoders, U-Nets and ResNets.
• Experience of deep learning model pruning, compression, and quantization for executing on edge device without performance decreasing.
• Experience in software development, incl. testing and debugging on mobile platforms, XR platforms or other embedded systems.
• Excellent knowledge of C++ and object-oriented programming, capability to design and implement robust, high-performance, and flexible system software.
• Academic publications in computer vision research at top conferences and journals (PAMI, IJCV, NeurIPS, CVPR, ICCV, ICLR, ICML, etc.)
• 2+ years Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  
  

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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