Sr Engineer, Machine Learning; -device Learning SW

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Machine Learning Engineering

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.

• Development of end-to-end embedded AI software to train and finetune 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.

• Bachelor s degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field.

• At least 3 years of 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 training is a big 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, Qualcomm is committed to providing an accessible process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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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. Salary is only one component of total compensation  offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. We also provide a competitive benefits package to support success at work and r recruiter can discuss details about Qualcomm benefits.

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