Sr. Engineer, Machine Learning Engineering (C++)

Responsibilities

• Develop modern C++17 software libraries for Qualcomm Hexagon Processors
• Design and performance tune C++17 code optimized for embedded systems
• Develop model analyzing tools for both internal and external customers
• Implement and optimize machine learning operations on Hexagon Processors
• Use cross-compiler toolchains for embedded systems including Android, Linux, and QNX
• Debug customer machine learning use cases executing on the Qualcomm AI Stack
• Participate in software quality process improvements and communicate across globally diverse teams

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field with 2+ years of relevant experience (or Master's with 1+ year, or PhD)
• Proficiency in modern C++17 language features
• Experience with mathematical algorithms using fast math libraries and vector instruction sets
• Practical experience in middleware or firmware software development
• Experience with multitasking and multithreading driver development
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or ONNX
• Proficiency with tools including git, Linux, JIRA, and Docker

Preferred Qualifications

• Experience with Hexagon DSP SDK or cross-compiler toolchains for embedded systems
• Strong knowledge of software design patterns

About the Company

Qualcomm builds the Qualcomm AI Engine to enable OEMs and developers to run deep neural network models on cutting-edge hardware. Our work powers transformative AI technology in everything from smartphones to automotive systems and IoT devices.