Qualcomm is seeking a Staff Engineer for ML Test and Automation, focusing on testing ML/DL models to benchmark Qualcomm AI Accelerator. This role combines deep technical expertise in machine learning with quality assurance leadership. The position requires staying current with State of Art market trends and proactively working to understand customer needs to identify optimal tools and metrics for quality assurance.
The role involves working with cutting-edge AI technologies, including Large Language Models, Computer Vision, and Natural Language Processing. You'll be responsible for developing and implementing comprehensive testing strategies for AI inference accelerator cards, ensuring both performance and accuracy benchmarking of various deep learning models.
As a Lead Engineer, you'll be working at Qualcomm's Chennai location, contributing to the company's AI initiatives. The position requires a strong background in Python programming, machine learning, and test automation, with particular emphasis on embedded systems and IoT platforms. You'll be responsible for creating and maintaining test infrastructure that enables engineering teams to deliver functional and performance metrics for language models.
The ideal candidate will have 11+ years of relevant experience, with a strong foundation in computer science or machine learning. You'll be joining a company known for its innovations in wireless technology and mobile computing, with opportunities to work on cutting-edge AI acceleration hardware and software.
Benefits include comprehensive health coverage, financial planning support, professional development opportunities, and various wellness programs. This role offers the chance to work with leading technology experts while contributing to world-changing innovations in AI and machine learning.