Cloud AI Power & Limits Management Software Engineer - Sr. Staff

Qualcomm is seeking a Sr. Staff Cloud AI Power & Limits Management Software Engineer to join their innovative team in San Diego. This role sits at the intersection of AI and system optimization, focusing on power and performance management for next-generation cloud accelerators. The position involves analyzing complex system-level AI use cases, including Computer Vision Networks, Recommendation Systems, and Gen AI workloads.

The role requires deep expertise in power/thermal/limits analysis at the product level, with a strong background in AI applications. You'll be responsible for developing algorithms to optimize power consumption and thermal performance, implementing system-level software optimizations, and exploring advanced machine learning techniques for power management.

As a leading technology innovator, Qualcomm offers a comprehensive benefits package including competitive base salary ($162,600 - $244,000), annual bonuses, RSU grants, and extensive health coverage. The company promotes a culture of continuous learning with tuition reimbursement and mentorship programs.

The ideal candidate will have 8+ years of experience in software engineering, strong programming skills in languages like C++, Python, and Java, and deep knowledge of ARM architecture and System on Chip concepts. You'll work independently while providing guidance to team members, making critical decisions that impact program and product success.

Located in sunny San Diego, you'll be part of a world-class team pushing the boundaries of what's possible in AI and cloud computing. This role offers the opportunity to work on cutting-edge technology while making a significant impact on the industry's future.