Company: Qualcomm Technologies, Inc.
Job Area: Engineering Group, Engineering Group > Video Standards Engineering
General Summary: Qualcomms Multimedia R&D and Standards Group is seeking candidates for Video Compression Research Engineer positions. You will be part of a world-renowned team of video compression 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 a passion for video compression technology. You will work on, but not be limited to, developing new applications of classical and machine learning methods in video compression, improving state-of-the-art video codecs.
We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, with preferred locations being USA, Germany, and Taiwan.
Responsibilities: • Contribute to the design, implementation, and optimization of advanced algorithms to improve video compression efficiency. • Participate in the research and development of AI-based compression tools. • Represent Qualcomm in the related standardization forums: JVET, MPEG Video, and ITU-T/VCEG. • Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference, and journal publications, etc.
Ideal Candidate: The ideal candidate would have the following skills and experience:
• Expert knowledge of the theory, algorithms, and techniques used in video and image coding, including the latest video coding standards such as HEVC and VVC. • Experience with deep learning architectures, including CNN, RNN, and autoencoders. • Track record of successful research accomplishments demonstrated through published papers, and/or patent applications in the fields of video coding or video processing. • Solid programming skills in C/C++ combined with knowledge of at least one machine learning framework such as PyTorch or TensorFlow. • Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals. • Masters or PhD degree with relevant work experience or publications in the areas of video compression, video/image processing algorithms, computer vision, or machine learning.
Qualifications: • PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics, or similar fields. • 1+ years of experience with programming language such as C, C++, MATLAB, etc.
Minimum Qualifications: • Bachelors degree in Engineering, Information Systems, Computer Science, Mathematics, Physics, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
Masters Degree Qualifications: • Masters degree in Engineering, Information Systems, Computer Science, Mathematics, Physics, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
PhD Qualifications: • PhD in Engineering, Information Systems, Computer Science, Mathematics, Physics, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
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 email disability-accommodations@qualcomm.com or call Qualcomms toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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 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.