Computer Vision Engineer

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Job Area:

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 multimedia applications enriching the embedded systems for Smartphone, IOT, Compute and Extended Reality.

The candidate should have a deep understanding in digital signal processing, and data-driven approaches 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, video analytics, biometrics, and extended reality.
• Research and development of multimedia applications by generative AI, including LLM, VLM, LVM, and other multi-modal models.
• This includes but not limited to video semantic analytics, human face and body 3D analysis, biometrics with forgery 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, digital signal processing, 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.
• Expertise in various networks architectures such as VAE, GAN, diffusion, transformer, Gaussian Splatting, NeRF, U-Nets, and 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:

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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.

Pay range and Other Compensation & Benefits:

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

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