Machine Learning Senior Engineer
Location : Hyderabad, Telangana
Headquarters : United States
Hiring Mode : Full Time
Experience : Senior Level
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.
General SummaryJoin a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of mobile devices around the world. In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE)/Android Neural Network framework on Qualcomm SoCs. You would be porting ML solutions to various platforms involving different compiler toolchains and enable the product to work on upcoming chipsets, optimize the performance for benchmarking on multiple hardware accelerators (like CPU/GPU/DSP). You will have expert knowledge of debugging, improving and maintaining cross platform compilation, linkage, build system and deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint.
Familiarity with neural network operators and model formats including PyTorch, ONNX, Caffe, Caffe2, and Tensorflow. Experience with machine learning accelerators or GPU development, optimizing algorithms for hardware acceleration cores using OpenCL, DSPs and/or ML specific cores Experience with ML application development Good understanding about Processor architecture, system design fundamentals Background in mathematical operations: linear algebra, fast math libraries Experience working with heterogeneous or parallel computing systems and knowledge of associated languages like OpenCL, CUDA, etc is a plus
3 to 6 years of relevant work experience in software development Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding of Deep Learning fundamentals Strong development skills in C++, Python Experience with at least one machine learning framework like TensorFlow, Caffe, Pytorch, etc. Experience with embedded systems development or equivalent. Understanding of software development and debugging in embedded environments. Well versed in version control tools like git Excellent communication skills (verbal, presentation, written)
Ability to collaborate across a globally diverse team and multiple interests
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