eNPU Systems Engineer

Remote Hyderabad, India
R C++ Python PyTorch TensorFlow

Qualcomm is a company of inventors that unlocked AI on Edge - 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 Multimedia Systems Group to work in the area of Low Power ML Accelerator, developing embedded software for next generation low power NPU. You will be part of the Multimedia Systems and R&D team and develop low power AI accelerator runtime software for Qualcomm Snapdragon platforms.


The candidate will be expected to work with a team of engineers to design, implement, integrate, and test kernels for ML operators for Qualcomm's Low power ML accelerator.

Design, implement, integrate, and test kernels for ML operators for HW accelerator.
Create test framework for tracking performance and power metrics.
Work closely with other teams for ML model offload system integration, use case testing and commercialization support.


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.

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