Senior or Staff Engineer - Reinforcement Learning and Planning for Autonomous Driving
Description For Senior or Staff Engineer - Reinforcement Learning and Planning for Autonomous Driving
Qualcomm Technologies, Inc. is seeking an experienced Senior or Staff Engineer to join their autonomous driving technology team. This role represents an exciting opportunity to work at the intersection of reinforcement learning and autonomous driving systems at one of the world's leading technology companies.
The position focuses on advancing AI driving technology through the development and implementation of sophisticated reinforcement learning and behavioral modeling systems. The successful candidate will be responsible for creating safe, efficient, and reliable autonomous driving systems while working with cutting-edge technology and collaborating with world-class researchers and engineers.
The role requires a strong technical background with either a Bachelor's degree and 4+ years of experience, or a Ph.D. with 2+ years of industry experience in autonomous driving or robotics. Key technical skills include proficiency in deep learning models, reinforcement learning techniques, and strong programming abilities, particularly in Python and machine learning frameworks.
What makes this opportunity particularly compelling is the chance to work on real-world applications of autonomous driving technology at a company with significant resources and market influence. The position offers competitive compensation ($148,300 - $222,500) along with comprehensive benefits including medical insurance, 401k, equity grants, and annual bonuses.
The work environment encourages innovation and independent thinking, while also providing opportunities for collaboration with experts in the field. The role involves both theoretical research and practical implementation, making it ideal for someone who enjoys bridging the gap between academic advances and real-world applications.
Located in either San Diego or Santa Clara, California, this position offers the chance to work in major tech hubs while contributing to the future of autonomous driving technology. The role provides significant growth potential and the opportunity to make meaningful contributions to a rapidly evolving field.
Responsibilities For Senior or Staff Engineer - Reinforcement Learning and Planning for Autonomous Driving
- Design and refine behavioral models using advanced reinforcement learning techniques
- Integrate reinforcement learning models with real-world data and simulation frameworks
- Develop planning algorithms for complex driving scenarios
- Collaborate with researchers and engineers on autonomous vehicle technology
- Work independently with minimal supervision
- Provide supervision/guidance to other team members
Requirements For Senior or Staff Engineer - Reinforcement Learning and Planning for Autonomous Driving
- Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 4+ years experience
- Ph.D. + 2 years of industry experience in autonomous driving or robotics domain preferred
- Proficient in deep learning models (CNN, Transformer, RNN, LSTM, VAE, GraphCNN)
- Expertise in reinforcement learning (offline RL, reward modeling, RLHF, DPO, GPRO)
- Strong programming skills in Python and machine learning libraries
- Experience with simulation environments and real-world data
- Track record of publications at top-tier conferences
- Excellent written and verbal communication skills
Benefits For Senior or Staff Engineer - Reinforcement Learning and Planning for Autonomous Driving
- Competitive annual discretionary bonus program
- Annual RSU grants
- Comprehensive health coverage
- Financial planning assistance
- Educational support
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