Engineer, Staff/Lead - EDA(Electronic Design Automation) Machine Learning Engineer

Qualcomm's Global SoC Machine Learning Research team in Bangalore is seeking talented professionals for an exciting role developing AI/ML based Electronic Design Automation (EDA) solutions for SoC applications. This position sits at the intersection of machine learning and chip design, focusing on creating innovative solutions that optimize power, performance, and area while reducing computational overhead and designer effort.

As a Staff/Lead EDA Machine Learning Engineer, you'll be part of a dynamic global team working on cutting-edge technology that directly impacts Qualcomm's chip development process. The role combines deep technical expertise in both software engineering and machine learning, with opportunities to work on complex optimization problems in VLSI design, including placement, routing, timing analysis, and power optimization.

The position offers significant growth potential within a world-class technology company known for pushing boundaries in innovation. You'll have access to comprehensive benefits including world-class health coverage, financial planning programs, continuous learning opportunities, and wellbeing initiatives. The collaborative environment encourages both individual contribution and team success, with opportunities to mentor other team members and influence key organizational decisions.

This role is ideal for candidates who combine strong technical skills with excellent communication abilities and intellectual curiosity. You'll be working independently while also collaborating with global teams, making this an excellent opportunity for someone who wants to make a significant impact in the field of AI-driven chip design optimization.