Sr/Staff Machine Learning Engineer, Planning, Autonomous Driving

Qualcomm Technologies is seeking Machine Learning Engineers to develop behavioral foundation models for autonomous driving technology. This role offers an exciting opportunity to work with extensive real-world datasets and shape the future of autonomy across vehicle generations. As a Sr/Staff ML Engineer, you'll be part of a dynamic team focused on developing cutting-edge autonomous driving solutions. The position combines deep technical work in machine learning with practical applications in autonomous systems.

The role involves designing and implementing advanced deep learning models, particularly focusing on behavioral modeling for autonomous vehicles. You'll work with both simulated environments and real-world data, requiring expertise in Python, PyTorch, and modern ML frameworks. The position offers competitive compensation ($111,300 - $166,900) plus benefits including bonuses and RSU grants.

Qualcomm provides a comprehensive benefits package including health coverage, financial planning support, and wellbeing programs. The company culture emphasizes innovation, collaboration, and professional growth through mentorship and continuous learning opportunities. This position offers the chance to work on transformative technology while being part of a global leader in wireless innovation.

The ideal candidate will have a strong background in machine learning, preferably with a Ph.D. and industry experience in autonomous driving or robotics. You'll need to demonstrate expertise in deep learning, reinforcement learning, and large-scale ML systems. The role requires both technical excellence and leadership skills, as you'll be guiding team members and influencing key organizational decisions.