Staff AI Research Engineer

Qualcomm • San Diego, CA

4d

About The Position

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. Our team of engineers and computer scientists work s on projects related to high-performance embedded and edge computing, advanced numerical / scientific computing and algorithms, state-of-the-art optimizations, LLM and vision-based model accelerations and on-device performance optimizations, and quantization techniques, supporting internal and external clients at/of Qualcomm. Our research is at the cutting edge of AI R&D , is highly impactful with products and customer applications, and is making relevant and high impact both in research realm and real-world customers. We are seeking talented Research Engineers to join our Artificial Intelligence R&D team. As a Machine Learning Engineer, you will work on a range of projects within a small technical team, conducting fundamental research that creates innovative machine learning methodology and achieves beyond state-of-the-art performance . You will be closely guided and mentored by one of our experienced researchers, providing you with an unparalleled learning experience. You will have the opportunity to publish your own research papers, and to attend client meetings and academic conferences. We support Qualcomm's mission for making the world a better place one wireless connection at a time, making AI smarter, cars drive better, networks move data faster, and extending reality . By joining our team, you can help Qualcomm Win Toge the r, Achieve Excellence, Make the Impossible Inevitable, and Do the Right Thing. Some examples of past and ongoing projects our team of Research Engineers have contributed to include: Cutting-edge c ompiler optimizations for new industry-leading Qualcomm AI chips. New approaches to and applications of nonconvex optimization Developing new algorithmic implementations for Qualcomm hardware, grounded in mathematical and linear algebra theory and practice , improving on state-of- art standard approaches. New approaches to accelerating inference and learning via algorithm , compiler and hardware innovations. Drop-in replacements for traditional attention-based transformer architectures State-of-the-art R&D in LLM inference efficiency algorithms, efficient model architecture design, and LLM training Developing creative solutions with consideration of practical challenges on device Implementation and evaluation of 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

• 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 math ematics foundation (theory and applied) , numerical computing background , programming and engineering skills, as well as excellent oral and written communication skills.
• A firm math ematics background, as well as a strong knowledge of advanced algorithms.
• A p assion 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.
• R esearch experience , including publication history - AI R&D preferred.
• B ackground and understanding of the mathematical foundations of deep learning
• Strong programming / engineering skills (experience with version control, Github , etc )
• 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.
• OR 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.
• OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Nice To Haves

• 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 e xperience 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
• Publi cation 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.)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees