Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

Computer vision and AI are fundamental in modern imaging and video systems. Qualcomm's Multimedia R&D and Standards Group is seeking candidates for its video multimedia standards team working with video processing, video compression and machine learning technologies. You will be part of world-renowned team of video experts. The team develops algorithms, hardware architectures and systems for state-of-the-art applications of classical and machine learning methods in video compression, video processing, point cloud coding and processing, AR/VR and computer vision use cases. The successful candidate for this position will be a highly self-directed individual with strong creative and analytic skills and passion for machining learning, video compression and processing technologies. You will work on, but not be limited to, developing new algorithms for video motion processing such as optical flow estimation in challenging AR/VR or automotive applications.

We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, preferred locations are in USA San Diego and Santa Clara offices.

Responsibilities:

• Contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video analysis, processing, and compression.

• Initiate ideas, design and implement computer vision algorithms for mobile, automotive and XR applications for superior hardware performance in resource constrained applications.

• Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, etc.

Ideal candidate would have the skills/experience below:

• Expert knowledge of the theory, algorithms, and techniques used in video and image processing and compression in autonomous driving, robotics, XR/AR/VR applications.

• Prior experience in computer vision applications to optical flow or video motion estimation.

• Familiarity with Neural Radiance Field models.

• Experience with deep learning structures CNN, RNN, autoencoder etc. and frameworks like TensorFlow/PyTorch.

• Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of machine learning, video coding, or video processing.

• Solid programming and debugging skills in Python, C/C++.

• Strong written and verbal English communication skills, great work ethic and ability to work in a team environment to accomplish common goals.

• Master’s or PhD degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field with relevant work experience or publications in the areas of video compression, video/image processing algorithms, computer vision, or machine learning.

Qualifications:

• Master’s or PhD degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience.

• Experience in machine learning and AI, either in an academic or industry research lab.

Minimum Qualifications:

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

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 (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) 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.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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:

$123,000.00 - $192,000.00

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!

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

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