Qualcomm Sr Staff Windows Snapdragon Software Engineer Machine Learning Group 

United States, California, San Diego 

905551234

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

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 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

PhD in Computer Science, Engineering, Information Systems, or related field and 4+ 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 immediate work group.

Minimum Qualifications:

• 8+ years of general software development experience

• 5+ 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)

• 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

Education Requirements:

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

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

:

$178,400.00 - $267,600.00