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# Software Engineer, Autonomous Vehicles (Motion Planning)

- **Company:** One Inc
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, C++ (Programming Language), Middleware, Python (Programming Language), Kinematics, Motion Planning, Software Engineering, Real Time Systems, Backend, Information Technology
- **Published:** July 29, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p8bmezdjz0

## About the Role

We are looking for versatile engineers to shape core components of the next generation of the Helm.ai autonomous stack. No prior experience in autonomous vehicles is required-we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai's AI teams, and work with customers to advance highway and urban autonomous driving capabilities., * MS/PhD in robotics, Computer science, Electrical Engineering, or equivalent industry experience.

 * Solid C++ for robust, real-time systems, paired with Python for tooling and data analysis.
 * Deep familiarity with both planning algorithms (search, sampling and optimization-based) and complex decision architectures (like FSMs and behavior trees).
 * A solid grasp of vehicle kinematics and dynamics to ensure safe, smooth, and realistic motion profiles.
 * Hands-on experience with ROS/ROS2 or comparable autonomous middleware.

The Following Are Not Required But a Plus

 * Experience shipping a planner on public roads and analyzing real-world disengagement data.
 * Hands-on experience with tools like CARLA or custom in-house scenario frameworks.

## Description

* Architect core behavior planning: Own the logic and decision frameworks that guide the vehicle through complex maneuvers (like unprotected turns, dynamic merges, and yielding).
 * Optimize trajectories: Develop robust trajectory generation systems that perfectly balance safety, passenger comfort, and vehicle progress.
 * Ensure verifiable safety: Translate complex traffic rules and operational design domain (ODD) constraints into interpretable, highly safe planning behaviors.
 * Solve the long-tail: Tackle exciting, real-world edge cases, from unpredictable pedestrians and occlusions to complex construction zones.
 * Drive cross-functional integration: Collaborate closely to seamlessly connect your planner with perception, prediction, localization, and control modules.
 * Test and validate: Prove out your solutions through rigorous scenario-based simulations, closed-course trials, and live on-road testing.
 * Optimize for real-time: Deliver robust, highly deterministic performance tailored for embedded automotive hardware.


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