ML Audio Systems Engineer
Qualcomm
Hyderabad, Telangana, India
Job description Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. QUALCOMM is the world's leading developer of next generation wireless and multimedia technology. Immediate opportunities exist in QUALCOMM's Audio Systems Group to work in the area of Embedded Neural Processing Unit (eNPU - AI accelerator), developing embedded software for next generation low power NPU. You will be part of the Audio Systems and R&D team and develop low power AI accelerator runtime software for Qualcomm Snapdragon platforms. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Responsibilities: This position requires the candidate to design, implement, integrate, NN kernels for ML operators for Audio, Camera, Sensors Models offload to eNPU HW accelerator, meeting performance and power metrics. Responsibilities also include optimizing ML inference, memory handling and computation cycles. Requirements: Strong programming skills in C/C++, Python Expertise in developing and debugging software on embedded platforms Knowledge of ML operators such as Transformers, LSTM, GRUs.. Knowledge of software design patterns and multi-threaded programming, Eg POSIX Knowledge of computer architecture, operating systems, data structures, and basic algorithms knowledge of fixed point coding Knowledge of any ML frameworks pytorch, TensorFlow.. Knowledge of Model quantization and compression techniques is a plus Working on ML inference optimizations is a plus Experience working on any AI HW accelerator (NPU) is a plus Proven ability to work in a dynamic, multi-tasked environment Self-starter who likes to be challenged and solve tough complex issues Educational Qualification: Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.
