Sr. Staff Windows on Snapdragon Software Engineer, Machine Learning Group

Qualcomm Technologies, Inc. is seeking a Sr. Staff Windows on Snapdragon Software Engineer to join their Machine Learning Group. This role represents an exciting opportunity to work at the intersection of machine learning and Windows platform development.

As a Sr. Staff Engineer, you'll be responsible for the software design and development of the Qualcomm AI Stack, focusing specifically on Windows on Snapdragon implementations. This position requires deep expertise in both Windows development and machine learning technologies, combining them to create efficient, powerful solutions.

The role involves working with cutting-edge neural network technologies and ensuring their optimal execution on Qualcomm's hardware platforms. You'll be developing SDKs and tools that enable the latest neural networks to run efficiently on Windows on Snapdragon, while also validating and improving their performance through detailed analysis and testing.

Key aspects of the role include:

• Leading the development of machine learning solutions for Windows on Snapdragon
• Optimizing software performance for AI model deployment
• Collaborating with cross-functional teams to integrate solutions
• Providing technical leadership and mentoring to team members
• Working with various ML frameworks and architectures

The ideal candidate will bring:

• Extensive experience in Windows software development
• Strong background in C/C++ programming
• Understanding of machine learning frameworks and neural network architectures
• Experience with performance optimization and debugging
• Leadership capabilities and excellent communication skills

Qualcomm offers a competitive compensation package including base salary, annual bonus, RSU grants, and comprehensive benefits. The company provides an innovative work environment where you'll be at the forefront of AI and mobile computing technology.

Join Qualcomm to be part of a team that's pushing the boundaries of what's possible in AI and machine learning, while working with some of the industry's brightest minds in a collaborative and supportive environment.