Staff GenAI Evaluation Engineer - Qualcomm Research

Qualcomm AI Research is seeking a Staff GenAI Evaluation Engineer to join their cutting-edge team working on embedded GenAI technologies. This role represents an exciting opportunity to work with world-class engineers in developing and evaluating machine learning solutions that push the boundaries of what's possible in device-based AI.

The position involves working with state-of-the-art technologies including AI Model Efficiency Toolkit and Snapdragon Neural Processing Engine (SNPE) SDK. You'll be responsible for evaluating and optimizing ML algorithms for devices with limited resources, ensuring they meet rigorous quality standards while maintaining high performance.

As a Staff Engineer, you'll collaborate with a multi-disciplinary team of researchers and engineers, participating in the complete development process from conception to implementation. Your work will involve porting AI/ML solutions across various platforms and optimizing their performance on different hardware accelerators including CPUs, GPUs, and NPUs.

The role offers competitive compensation ranging from $158,400 to $237,600, along with comprehensive benefits including annual bonuses, RSU grants, and extensive health coverage. Qualcomm provides a collaborative environment where you'll work alongside leading experts in AI and machine learning, with access to cutting-edge technology and resources.

The ideal candidate will bring strong software development skills, deep understanding of machine learning fundamentals, and experience with modern AI frameworks like PyTorch and TensorFlow. Knowledge of generative AI, LLMs, and AI agent frameworks is crucial. This position offers the opportunity to shape the future of embedded AI technology while working for one of the world's leading technology companies.

Join Qualcomm's AI Research team to contribute to groundbreaking advancements in generative AI and be part of a team that's pushing the boundaries of what's possible in mobile and embedded AI technology. Your work will directly impact the development of next-generation AI solutions that will power countless devices worldwide.