As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drivesdigital transformation to help create a smarter, connected future for all.

As a Qualcomm Machine Learning Engineer, you will create andimplement machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machinelearning solutions over a broad set of technology verticals or designs.

In this position you will be responsible forassisting with the software design and development of the Qualcomm AI Stack, SDKs and associated tools, specifically targeting Windows on Snapdragon. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.

All Qualcomm employees are expected to actively support diversity in their teams, and in the Company.

Responsibilities:

As the AI software WoS (Windows on Snapdragon) lead, you will be hands-on and leading the team responsible for integrating our AI SDK into Snapdragon based Windows products.
Drive feature development and enhancements needed in the Qualcomm AI Stack SDKs for WoS.
You will work closely with the rest of the AI software team and with other teams within Qualcomm involved in supporting WoS.
Decision-making is significant in nature and affects work beyond the immediate work group. You will provide supervision/guidance to other team members, and you will participate in strategic planning for integrating the Qualcomm AI Stack SDKs into WoS.
You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from a software engineering as well as a machine learning standpoint.

Minimum Qualifications :

15+ years of industry and general software development experience
5+ years Windows software development experience
Ability to work independently with no supervision
Ability to lead a software team and collaborate to get work done
Strong communication skills (verbal, presentation, written).
Ability to convey complex and detailed information to multiple audiences and high-level stake holders
Ability to make decisions and construct plans with minimal, conflicting, and sometimes missing information
Experience with Windows application development (e.g. integrating applications into the Windows stack)
Software development experience using C/C++
Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)

Preferred Qualifications:

Experience with ONNX RT
Experience with Windows OS, Visual Studio, Windows Performance Analyzer (WPA), WinDbg tools
Experience debugging complex problems across multiple layers of hardware, OS, compiler, and drivers
Experience in Compiler and JIT technologies
Experience with different NN architectures DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
Experience with Machine Learning frameworks (e.g., Tensor Flow, Pytorch, Keras).
Experience with Windows AI benchmarks, like MLPerf, Geekbanch AI, Procyon, etc.
Experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
Experience with Qualcomm FastRPC and Windows MCDM drivers
Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)
Experience with agile software development practices and git based SCM
Linux software development
Software development experience with Python
Ability to collaborate across a globally diverse team and multiple interests

Principal Windows on Snapdragon Software Engineer

Machine Learning Group, Machine Learning Engineering

Qualcomm

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