Cloud AI Power & Limits Management Staff Software Engineer

Qualcomm Technologies, Inc. is seeking a Staff Software Engineer to join their Cloud AI Power & Limits Management team in San Diego. This role represents a unique opportunity to work at the forefront of cloud accelerator technology, focusing on optimizing power and performance for next-generation AI systems.

The position involves working with cutting-edge AI applications, including Computer Vision Networks, Recommendation Systems, and Generative AI workloads. The successful candidate will be responsible for analyzing complex system-level use cases and partnering with various stakeholders to optimize power and constrained performance of AI workloads on Qualcomm's advanced inference accelerators.

Key responsibilities include developing innovative algorithms for power consumption and thermal performance optimization, implementing system-level software optimizations, and exploring advanced machine learning techniques for power and limits management. The role requires a strong background in software engineering, with particular emphasis on power and thermal management in AI products.

The ideal candidate should possess at least 8 years of experience in programming languages such as C, C++, Python, and Java, along with deep knowledge of ARM architecture and System on Chip concepts. Experience with power/thermal/performance optimizations and AI use cases is highly valued. The position offers competitive compensation ranging from $134,800 to $202,200, along with comprehensive benefits including medical insurance, annual bonuses, and RSU grants.

Working at Qualcomm's San Diego headquarters provides an opportunity to collaborate with world-class engineers and technology experts while enjoying life in sunny Southern California. The company offers extensive professional development opportunities, including continuous learning programs, tuition reimbursement, and mentorship opportunities.

This role is perfect for someone who wants to make a significant impact on the future of cloud AI technology while working with one of the industry's leading innovators. The position combines technical challenges with the opportunity to work on solutions that will shape the next generation of AI accelerators.