Machine Learning Engineer for Perception for Autonomous Driving

We are looking for a machine learning engineer who can develop and implement novel perception algorithms for autonomous driving using low-level fusion architecture. You will be part of a team that is building an environment world model, using sensor data from cameras, lidars, radars, and other sources.

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 experience, OR Master's degree with 3+ years of experience, OR PhD with 2+ years of 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

Qualcomm offers a competitive salary range of $148,500 - $222,500, along with an annual discretionary bonus program, RSU grants, and a comprehensive benefits package designed to support your success at work, at home, and at play.