Machine Learning Engineer for Perception for Autonomous Driving

$148,500 - $222,500/Yr

Qualcomm - San Diego, CA

Full-time - Mid Level

San Diego, CA

Computer and Electronic Product Manufacturing

About the position

The Machine Learning Engineer for Perception for Autonomous Driving at Qualcomm is responsible for developing and implementing innovative perception algorithms that enhance autonomous driving capabilities. This role involves working with various sensor data to build a comprehensive environment world model, utilizing low-level fusion architecture to improve the performance and robustness of perception systems.

Responsibilities

• Designing, training, and testing deep neural networks for various perception tasks, such as object detection, segmentation, tracking, and classification.
• Developing and optimizing low-level fusion methods that combine multiple modalities and enhance the performance and robustness of the perception system.
• Evaluating and benchmarking the perception system on real-world scenarios and datasets.
• Collaborating with other engineers and researchers to integrate the perception system into the autonomous driving stack.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of relevant work experience; OR a Master's degree and 3+ years; OR a PhD and 2+ years of relevant work experience.
• Strong background and experience in machine learning, computer vision, and sensor fusion.
• Proficient in Python and C++, and familiar with PyTorch, TensorFlow, or other deep learning frameworks.
• Experience in working with sensor data from cameras, lidars, radars, or other sources.
• Knowledge of low-level fusion architectures and non-parametric methods.
• Ability to work independently and in a team, and to communicate effectively.
• Passion for autonomous driving and solving challenging problems.

Nice-to-haves

• Master's or PhD degree in computer science, electrical engineering, robotics, or related fields.

Benefits

• Competitive annual discretionary bonus program
• Opportunity for annual RSU grants
• Comprehensive benefits package designed to support work-life balance