Staff AI Research Engineer

Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation and creates a smarter, connected future. The Staff AI Research Engineer will work on cutting-edge AI R&D projects, conduct fundamental research in machine learning methodology, and contribute to innovative solutions that enhance performance and efficiency.

Responsibilities:

• Conducting fundamental research that creates innovative machine learning methodology and achieves beyond state-of-the-art performance
• Publishing research papers and attending client meetings and academic conferences
• Contributing to projects related to high-performance embedded and edge computing, advanced numerical/scientific computing and algorithms, and state-of-the-art optimizations
• Developing new algorithmic implementations for Qualcomm hardware, grounded in mathematical and linear algebra theory and practice, improving on state-of-the-art standard approaches
• Implementing and evaluating possible solutions in both simulation and on-device environments for GPUs, Qualcomm NPUs, and heterogeneous computing environments for image recognition, autonomous driving, and general vision-based environments

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• A solid intellectual and cognitive ability, motivation, a strong history of achievement, and an ability to synthesize knowledge from a variety of sources
• A strong mathematics foundation (theory and applied), numerical computing background, programming and engineering skills, as well as excellent oral and written communication skills
• A firm mathematics background, as well as a strong knowledge of advanced algorithms
• A passion for Computer Science research and application
• A genuine interest in the spectrum of Qualcomm's 5+G, AI and other distributed intelligence projects
• The flexibility to move among diverse sets of research topics
• Research experience, including publication history – AI R&D preferred
• Background and understanding of the mathematical foundations of deep learning
• Strong programming / engineering skills (experience with version control, Github, etc)
• PhD in Computer Science, Applied Mathematics, Electrical Engineering, or related field
• Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV cache compression
• Deep experience with Pytorch, strong understanding of Python and packages
• Experience in LLM reasoning or inference acceleration research
• Experience with vision-based AI problem space
• Experience in on-device AI deployment on mobile or edge devices
• Publication history of research papers at top-tier AI/ML conferences / journals, e.g., NeurIPS, ICML, CVPR, and ICLR OR publication history in scientific computing journals or conferences (IEEE, ACM, SIAM, etc.)