Engineering Manager - Behavior

Responsibilities

• Drive the overall strategy, technical roadmap, and architecture for behavior planning dedicated to L2 and L4 autonomous vehicles
• Guide the design and implementation of robust, safety-critical algorithms for various driving domains
• Grow and manage a team of world-class engineers in the field of behavior systems
• Evolve the architecture to achieve the final goal of an L4 end-to-end stack
• Work cross-functionally with Perception, Research, Simulation, and Vehicle Operations teams

Requirements

• 5+ years of experience in robotics or autonomous systems with a focus on behavior systems
• Experience in behavior planning, decision making under uncertainty, path planning, motion planning, probabilistic reasoning, prediction, machine learning, trajectory generation, mapless driving, or end-to-end autonomy stacks
• Demonstrated ability to architect large-scale, production software for real-world robotic or automotive systems
• Proven leadership experience managing engineering teams and overseeing technical projects
• Strong communication and problem-solving skills

Preferred Qualifications

• Direct experience working in end-to-end autonomy
• Hands-on experience building ML-driven and rule-based behavior planning, intent detection, or risk assessment modules
• Success in applying machine learning and AI processes to complex decision-making frameworks

About the Company

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing automotive, defense, trucking, construction, mining, and agriculture industries.