Staff Windows on Snapdragon Software Engineer, Machine Learning Group Full-time

Company:
Qualcomm Technologies, Inc.

Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

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

In this position you will be responsible for assisting 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.

Minimum Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master’s degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities:

• Software development of the Qualcomm AI Stack SDKs and tools to support execution of the latest Neural Networks on Windows on Snapdragon.
• Validate and/or improve the performance and accuracy of your software through detailed analysis and test of machine learning use cases
• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
• Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond the immediate work group.

Minimum Qualifications:

• 5+ years of general software development experience
• 3+ years of Windows software development experience
• Experience with Windows application development (e.g. working on tutorials/examples and validating integration into 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.)
• Strong communication skills (verbal, presentation, written)

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)
• Linux software development
• Experience with agile software development practices and git based SCM
• Software development experience with Python
• Ability to collaborate across a globally diverse team and multiple interests

Education:

• Preferred: Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm’s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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Pay range and Other Compensation & Benefits:
$158,400.00 – $237,600.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.