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Strong Tier-1 brand and metro hiring increase competition, specialization in DSP/embedded moderates applicant pool.
Role requires specialized DSP, embedded and applied ML skills, limiting cross-industry transferability.
Explicit degree and 2+ years requirement plus strong C++/embedded/ML expectations create moderate filter.
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Develop and integrate machine learning based applications for Qualcomm Snapdragon AI Processor focused on video playback, gaming, camera, and multimedia.
Design and develop processing frameworks on Android, Linux, and embedded real-time AI processors with responsibility for testing and validation of quality, performance, and power.
Collaborate with multiple teams to define requirements, resolve technical issues, and support both internal and external customers including exploration of applications beyond mobile (Automotive, IoT, XR).
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of systems engineering or related experience; OR Master's degree with 1+ year experience; OR PhD in relevant field.
Strong knowledge of modern C++ and C programming; experience with object-oriented programming; familiar with software development principles and object-oriented design.
Understanding of computer/hardware architecture, operating systems, and real-time software development concepts.
Excellent communication skills; experience working with multiple teams; ability to follow strong software development practices.
Experienced in software development for AI/Machine Learning applications on embedded systems or mobile platforms, preferably with exposure to real-time AI processor environments.
Capable of interpreting abstract problem definitions into concrete software solutions with cross-team collaboration abilities.
Has practical knowledge of Linux development and embedded software, with an understanding of multimedia frameworks and potentially driver development or high-performance computing.