Senior or Staff Engineer - Reinforcement Learning and Planning for Autonomous Driving

Qualcomm • San Diego, CA

51d

About The Position

This position is open for Santa Clara and San Diego locations. We are seeking an experienced Senior or Staff Engineer with expertise in Reinforcement Learning and Behavioral Modelling to advance our AI driving technology. Your work will be pivotal in creating safe, efficient, and reliable autonomous driving systems.

Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 4+ years of Systems Engineering or related work experience.
• OR Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 3+ years of Systems Engineering or related work experience.
• OR PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 2+ years of Systems Engineering or related work experience.

Nice To Haves

• Ph.D. + 2 years of industry experience in autonomous driving or robotics domain
• Proficient in variety of deep learning models like CNN, Transformer, RNN, LSTM, VAE, GraphCNN etc.
• Proven expertise in reinforcement learning, including areas like offline RL, reward modeling, RLHF, DPO, GPRO.
• Strong programming skills in Python and experience with machine learning libraries such as PyTorch.
• Experience working with simulation environments and real-world data for model validation and performance benchmarking.
• Experience working with, modifying, and creating advanced algorithms
• Analytical and scientific mindset, with the ability to solve complex problems.
• Excellent written and verbal communication skills, ability to work with a cross-functional team
• Track record of publications at top-tier conferences like NeurIPS, CVPR, ICRA, ICLR, CoRL, etc.
• Familiarity with self-driving technologies, sensor data processing, and real-time decision-making algorithms.
• Experience with large-scale machine learning systems, distributed training, and deploying models in production environments.

Responsibilities

• Design and refine behavioral models using advanced reinforcement learning techniques to ensure safe and efficient autonomous driving.
• Integrate reinforcement learning models with real-world data and simulation frameworks to enhance model accuracy and reliability.
• Develop planning algorithms that leverage reinforcement learning to navigate complex driving scenarios safely and efficiently.
• Collaborate with researchers and engineers to push the boundaries of AI, driving innovation in autonomous vehicle technology.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees