# Engineering Manager - Behavior

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** Engineering Management
**Salary:** $204k – $343k/yr
**Experience:** 5+ years
**Skills:** Behavior Planning, Motion Planning, Path Planning, Machine Learning, Autonomous Systems, Probabilistic Reasoning, Prediction, Trajectory Generation, End-To-End Autonomy, Robotics
**Posted:** 2026-04-21

> Leads engineering team building scalable behavior systems for autonomous vehicles across cars, trucks, mining, construction, and offroad. Owns strategy, architecture, and delivery of safety-critical algorithms; requires 5+ years in robotics/autonomy and team management experience.

## Job Description

## Responsibilities
- Drive the overall strategy, technical roadmap, and architecture for behavior planning dedicated to L2 and L4 autonomous vehicles for cars, trucks, mining & construction, and offroad.
- Guide the design and implementation of robust, safety-critical algorithms for various driving domains, including urban streets, highways, dirt roads, and diverse environmental conditions.
- 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 other teams, including Perception, Research, Simulation, and Vehicle Operations, to ensure the robust and efficient integration of the behavior software stack.

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

## Nice to Haves
- Direct experience working in end-to-end autonomy.
- Hands-on experience building ML-driven and rule-based behavior planning (and their interplay), intent detection, or risk assessment modules.
- Demonstrated success in applying machine learning and AI processes to complex decision-making frameworks for autonomous vehicles.

## Compensation
Base salary range: $204,000 - $343,000 USD annually, plus equity and benefits.

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