Qualcomm is hiring: Artificial Intelligence for Video Compression - Research Sci

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Machine Learning Engineering General Summary Qualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on machine learning for video compression. You join a world-renowned team of video compression experts who develop 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 ideal candidate will be a highly self-directed individual with strong creative and analytic skills, and a passion for machine learning and video compression technologies. This role offers the opportunity to contribute to groundbreaking advancements in video compression technology and working with a team of experts in a dynamic and collaborative environment. We are considering candidates with various levels of experience. We are flexible on location and open to hiring anywhere, with preferred locations in USA, Germany and Taiwan. Responsibilities Contribute to the conception, development, implementation, and optimization of new Neural Networks based algorithms allowing improved video compression. 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 papers and presentations, and journal publications, etc. Ideal candidate qualifications Developed innovative artificial intelligence/machine learning algorithms preferably related to data compression or computer vision. Knowledge of the theory, algorithms, and techniques used in video and image coding. Experience in video compression standards, such as VVC/H.266 or HEVC/H.265, is a significant benefit. Track record of successful research accomplishments demonstrated through published papers at leading conferences, and/or patent applications. Excellent programming skills including Python and C/C++ combined with knowledge of at least one machine learning framework such as PyTorch. Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals. 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 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. Policies 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 e-mail 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 be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Staffing and Recruiting Agencies 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 Statement 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 $158,400.00 - $237,600.00 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 – 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. #J-18808-Ljbffr In Summary: Qualcomm's Multimedia R&D and Standards Group is seeking a candidate for the position of Video Compression Research Engineer with a focus on machine learning for video compression . Ideal candidate will be a highly self-directed individual with strong creative and analytic skills, and a passion for machine learning and video compression technologies . En Español: Compañía Qualcomm Technologies, Inc. Grupo de Ingeniería del Área de Empleo, grupo de ingeniería > Ingenieria Máquina Aprendizaje Resumen General R&D Multimedia y Grupo de Estándares de Qualconm está buscando un candidato para el puesto de Ingenio de Investigación en Video-Compresión con enfoque en aprendizaje automático para la compresión de vídeo. Se une a un equipo mundialmente reconocido de expertos en video-compresión que desarrollan algoritmos, arquitecturas de hardware y sistemas para aplicaciones de última generación de métodos clásicos y de machine learning en compresión de vídeo, procesamiento de video, codificación y procesamiento en nube de punto, AR / VR y casos de uso de visión por computadora. El candidato ideal será una persona altamente autodirigida con fuertes habilidades creativas y analíticas, y pasión por las tecnologías de máquina-aprendizaje y compresión. Este papel ofrece la oportunidad de contribuir a los avances innovadoras en tecnología de compresión y desarrollo con un equipo de experto en un entorno dinámico. Documentar y presentar nuevos algoritmos e implementaciones en varias formas, incluidas las contribuciones a estándares, solicitudes de patentes, documentos y presentaciones de conferencias y publicaciones de revistas, etc. Calificaciones ideales para los candidatos Desarrollaron algoritmos innovadores de inteligencia artificial/aprendizaje automático preferentemente relacionados con la compresión de datos o visión por computadora. Conocimiento de la teoría, algoritmos y técnicas utilizadas en codificación de vídeo e imágenes. Experiencia en estándards de compresión video, como VVC / H.266 o HEVC / H .265, es un beneficio significativo. El registro de logros de investigación exitosos demostrados mediante trabajos publicados en conferencias líderes, y / o aplicaciones de patente. Excelentes habilidades de programación incluyendo y C / C ++ combinado con conocimiento de al menos una maquinaria de aprendizaje como PyTorch. Fuertes habilidades en inglés escrito y comunicación verbal, gran ética del trabajo, y capacidad de trabajar en equipo para lograr objetivos comunes. Maestría en Ingeniería de sistemas mecánicos, ingeniería electrónica, física informática, matemáticas, ciencias básicas o otras áreas relacionadas con el programación de software, 4 años de experiencia similar, grado de licenciatura en ingeniería de ingeniería eléctrica, Matemáticas, ingeniería de ordenador de código electrónico o de Python, etc., grado de formación en lenguaje de software o de base en línea, matriculado o de información, etc.. O título de maestría en Ciencias de la Computación, Ingeniería, Sistemas de Información o campo relacionado y más de 3 años de experiencia laboral. O doctorado en Ciencia informática, ingeniería, sistemas de información o área relacionada y 2+ años de carrera profesional en Ingenieria de Hardware, Ingenio de Software, Engeniería de Sistemas o trabajo relacionado. Políticas Qualcomm es un empleador de igualdad de oportunidades. 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 por correo electrónico disability-accommodations@qualcomm.com o el número gratuito de llamada de Qualcom m que se encuentra aquí. Las agencias de contratación y reclutamiento y las personas representadas por una agencia no están autorizadas a usar este sitio o enviar perfiles, solicitudes o currículos, y todas estas presentaciones se considerarán no solicitadas. Qualcomm no acepta currículos o solicitudes no solicitados de agencias. Por favor, no reenvíe los currículos a nuestros alias de trabajo, empleados de QualComm u otra ubicación protegida de la compañía. Además, nuestro paquete de beneficios altamente competitivo está diseñado para apoyar su éxito en el trabajo, en casa y en los juegos. Su reclutador estará encantado de discutir todo lo que Qualcomm tiene para ofrecer y puede revisar más detalles sobre nuestros beneficios estadounidenses en este enlace. Si desea obtener más información acerca de esta función, comuníquese con Qualcomms Careers. #J-18808-Ljbffr