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Qualcomm is seeking a Senior Engineer (AISW) in Hyderabad to design, develop, and validate embedded and cloud edge software for ML workloads. You will work with cross-functional teams to deliver on-device inference with SNPE SDK on Qualcomm platforms, focusing on performance, power efficiency, and robustness.
Responsibilities include developing ML features, deploying large software stacks, and keeping pace with industry advances to enhance solutions.
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference 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 devices around the world. Responsibilities: In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You will be developing various SW features in our ML stack. You will be enabling AI/ML solutions to various platforms. You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint.
3-7 years of relevant work experience in software development.
Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding about Processor architecture, system design fundamentals.
Experience with embedded systems development or equivalent. Strong development skills in C and C++.
Excellent communication skills (verbal, presentation, written).
Ability to collaborate across a globally diverse team and multiple interests.
Experience in embedded system development.