Video Research Engineer Job at Qualcomm in San Diego

Overview Qualcomm Technologies, Inc. is seeking candidates for Video Compression Research Engineer positions within the Multimedia R&D and Standards Group. You will be part of a world‑renowned team of video compression experts developing 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 will be highly self‑directed 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 to improve 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; preferred locations are 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 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 would have the skills/experience below Expert knowledge of the theory, algorithms, and techniques used in video and image coding, including 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 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 languages such as C, C++, MATLAB, etc.
Minimum Qualifications Bachelor’s 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.
OR Master’s 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.
OR 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.
Qual Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email disability-accommodations@qualcomm.com or call Qualcomm’s toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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.
Pay range and Other Compensation & Benefits: $179,000.00 - $268,400.00. 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. Salary is only one component of total compensation at Qualcomm, which includes a competitive annual discretionary bonus program and potential RSU grants. Our benefits package supports success at work, at home, and at play. Your recruiter can discuss all that Qualcomm has to offer, and you can review more details about our US benefits through the linked page.
If you would like more information about this role, please contact Qualcomm Careers.

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In Summary: Video Compression Research Engineer positions within the Multimedia R&D and Standards Group . The successful candidate will be highly self-directed with strong creative and analytic skills and a passion for video compression technology . The ideal candidate would have the skills/experience below .

En Español: Qualcomm Technologies, Inc. está buscando candidatos para cargos de ingeniero de investigación en compresión video dentro del Grupo Multimedia R&D y Normas. Usted formará parte de un equipo mundialmente reconocido de expertos en la compresión de vídeo que desarrollarán algoritmos, arquitecturas de hardware y sistemas para aplicaciones de última generación de métodos clásicos y de aprendizaje automático en la compresión de vídeo, procesamiento de videos, codificación y procesamiento en nube puntual, AR/VR y casos de uso de visión por ordenador. El candidato exitoso será altamente autodirigido con fuertes habilidades creativas y analíticas y una gran pasión por la tecnología de comprisión de vídeo. Trabajará pero no se limitará al desarrollo de nuevas aplicaciones a los métodos de compresión clásica y de máquina para mejorar el estado de los códigos de vídeo avanzados. Estamos considerando candidatos con diversos niveles de experiencia. Representamos a Qualcomm en los foros de estandarización: JVET, MPEG Video y ITU-T/VCEG. Documentar y presentar nuevos algoritmos e implementaciones en varias formas, incluidas las contribuciones a estándares, solicitudes de patentes, publicaciones de conferencias y revistas de matemáticas, etc. Las responsabilidades contribuirían al diseño, aplicación y optimización de algoritmos avanzados para mejorar la eficiencia de compresión de vídeo. Participar en la investigación y desarrollo de herramientas de comprisión basadas en IA. Representaremos a QualComm en fóruns de normalización: jvet, mpeg video, y ITu-t / vceg. Documente y presente nuevos algoritmo e implementación en diversas formas, incluyendo aportes de normas, aplicaciones de patente, conferencias de conferencia y publicaciones en revista, etc.. El candidato ideal tendría el conocimiento/experiencia inferior del experto sobre la teoría, algoritmos y técnicas utilizadas en codificación de videos e imágenes, incluidos los más recientes estándards de programación de vídeo como HEVC y VVC. Experiencia con maestría en Matemática, másterisgrado en Física, Rn+n+, ingeniería automotécnica o autocodificadores. Si usted es una persona con discapacidad y necesita un alojamiento durante el proceso de solicitud/contratación, Qualcomm se compromete a proporcionar un proceso accesible. Puede enviar un correo electrónico a disability-accommodations@qualcomm.com o llamar al número gratuito de QualcomMs que se encuentra aquí. A petición, Quacomm proporcionará alojamientos razonables para apoyar a las personas con discapacidades en participar en el procedimiento de contratación.