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 advance their AI driving technology through reinforcement learning and behavioral modeling. This role represents a unique opportunity to work at the intersection of autonomous driving and artificial intelligence.
The position demands a strong background in reinforcement learning and deep learning, with the successful candidate expected to design and implement behavioral models for autonomous driving systems. You'll be working with cutting-edge technology, integrating reinforcement learning models with real-world data and simulation frameworks to enhance model accuracy and reliability.
The role offers competitive compensation ($148,300 - $222,500) and comprehensive benefits, including annual bonuses, RSU grants, and extensive healthcare coverage. As a leader in wireless technology and autonomous systems, Qualcomm provides an environment where you'll collaborate with top industry experts and researchers.
Key responsibilities include developing planning algorithms for complex driving scenarios, supervising team members, and contributing to innovative solutions in autonomous vehicle technology. The ideal candidate will have a PhD with industry experience, strong programming skills in Python, and a track record of publications at top-tier conferences.
Working at Qualcomm means joining a company at the forefront of technological innovation, with opportunities for professional growth through mentorship programs and continuous learning. The position is based in either San Diego or Santa Clara, California, offering the chance to work in major tech hubs while contributing to the future of autonomous driving technology.
This role is perfect for someone who combines technical expertise with leadership abilities and wants to make a significant impact in the autonomous driving industry. You'll be part of a team pushing the boundaries of what's possible in AI and autonomous systems, while enjoying the stability and resources of a global technology leader.
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/Master's/PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field
- 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
- Strong programming skills in Python
- 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
- Annual discretionary bonus program
- Annual RSU grants
- Competitive benefits package
- Medical coverage for employees and dependents
- Financial planning resources
- Mental health and wellbeing support
- Tuition reimbursement
- Mentorship programs
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