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

Qualcomm Global SoC Machine Learning Research team in Bangalore is seeking candidates for developing AI/ML based EDA solutions for SoC applications. This role focuses on creating solutions that help Qualcomm design chips with optimal power, performance, and area while minimizing compute and designer effort. The position requires expertise in EDA tools and AI/ML techniques, with a strong background in optimization algorithms for VLSI problems.

The ideal candidate will work independently with minimal supervision, providing guidance to team members while collaborating with a global team. The role involves complex problem-solving, requiring strong communication skills to convey technical information effectively. You'll be part of a leading technology innovator, working on cutting-edge solutions that push the boundaries of what's possible in chip design.

Key responsibilities include translating SoC design problems into technical specifications, developing high-performance AI/ML solutions, and implementing software that drives innovation in electronic design automation. The role offers opportunities for growth through continuous learning programs, mentorship, and collaboration with industry experts.

Working at Qualcomm means joining a company that values diversity, inclusion, and innovation. You'll have access to comprehensive benefits, including world-class health coverage, financial planning support, and wellbeing programs. The company's culture promotes both professional growth and work-life balance, making it an ideal environment for talented engineers looking to make a significant impact in the field of machine learning and chip design.