Engineering Manager - Behavior

What you'll do

• Set strategy, technical roadmap, and architecture for L2 and L4 behavior planning; evolve the architecture toward an L4 end-to-end stack.
• Guide development of robust, safety-critical behavior algorithms and coordinate integration with cross-functional teams.
• Manage and grow the engineering team, mentor engineers, and partner with customers on technical and business decisions.

What they ask for

• 5+ years of experience in robotics or autonomous systems, focused on behavior systems.
• Experience in two or more listed areas, including behavior planning, decision-making under uncertainty, path or motion planning, probabilistic reasoning, prediction, machine learning, trajectory generation, mapless driving, or end-to-end autonomy.
• Demonstrated ability to architect large-scale production software for real-world robotic or automotive systems.
• Proven engineering-team leadership, including setting goals and overseeing technical projects.

Nice to have

• Direct experience working in end-to-end autonomy.
• Hands-on experience with ML-driven and rule-based behavior planning, intent detection, or risk assessment; success applying machine learning and AI to autonomous-vehicle decision-making.

Pay

$204K – $343K (base salary)

Tools

L2, L4, machine learning, AI

AI focus

Builds behavior systems for autonomous vehicles, including machine-learning and AI methods for complex decision-making; evolves toward an L4 end-to-end autonomy stack.