Sr Engineer, Machine Learning Engineering (On-device SW)

Qualcomm AI Research is looking for talented AI software engineers to enable AI technologies on edge devices.  This is your opportunity to join a high-caliber team of engineers, building  best-in-class GenAI solutions with model optimization tools to deploy state-of-the-art models to edge devices with optimal power, memory, and computation use.

In this role, you will be part of a multi-disciplinary team that has continually enabled first-of-its-kind and competitive generative AI models on Qualcomm AI accelerator engines, such as the world’s first on device text-to-image generation with stable diffusion, and text-to-text with 7B large language model on device.

You will collaborate in a cross-functional environment spanning hardware, software and systems and see your design in action on industry-leading chips embedded in the next generation of intelligent devices, such as smartphones, autonomous vehicles, robotics, and IOT devices.

Responsibilities:

• Development of end-to-end embedded AI software to run quantized neural network models on Qualcomm leading edge hardware with optimal resources.
• Design and enhance the implementation of ML/AI SW stack, kernels, and runtime software to improve performance and power efficiency.
• Collaborating with our AI Processor Hardware team to implement high-quality solutions for new ML operators/layers that optimally utilize new capabilities in next-gen AI processors.
• Development of debugging/profiling tools and user-friendly SDKs for customers to foster rapid deployment of their new use cases.

Preferred Skills and Experience:

• 3+ years of professional work experience in a relevant field.
• Excellent programming capabilities with C/C++ and Python.
• Knowledge of deep learning and  ML frameworks ( i.e. PyTorch ).
• Strong software design, development, and debugging skills.
• Knowledge of Android programming is plus.
• Optimization of algebraic operations in algorithms for HW cores is a plus.
• Knowledge in neural network model quantization is a big plus.
• Experience with Qualcomm QNN SDK is a big plus.

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).