המקום בו המומחים והחברות הטובות ביותר נפגשים
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
Responsibilities:
Contribute to the conception, development, implementation, and optimization of new algorithms extending existing techniques and systems allowing improved video compression.
Initiate ideas, design and implement algorithms for superior hardware encoder performance, including perceptually based bit allocation.
Develop new algorithms for deep learning-based video compression solutions.
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, presentations, etc.
Ideal candidate would have the skills/experience below:
Expert knowledge of the theory, algorithms, and techniques used in video and image coding.
Knowledge and experience of video codecs and their test models, such as ECM, VVC, HEVC and AV1.
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 video coding or video processing.
Solid programming and debugging skills in C/C++.
Strong written and verbal English communication skills, great work ethic, and ability to work in a team environment to accomplish common goals.
PhD or Masters degree in Electrical Engineering, Computer Science, Physics, Mathematics or similar field, or equivalent practical experience.
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 Engineering, Information Systems, Computer Science, Mathematics, Physics or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
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.
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 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:
$168,500.00 - $252,500.00
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