> Markdown version of [/jobs/ext/2723112-software-engineer-motion-planning-fallback-stack](https://www.wearedevelopers.com/jobs/ext/2723112-software-engineer-motion-planning-fallback-stack). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer - Motion Planning (Fallback Stack

- **Company:** Applied Intuition
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $151,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Software Debugging, Log Analysis, Machine Learning, Motion Planning, Windows Remote Assistance, Real Time Systems, Deep Learning
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-motion-planning-fallback-stack-appliedintuition-com-8295038

## About the Role

* 5+ years of experience in motion planning for autonomous vehicles or robotics
 * Strong foundation in robotic motion planning algorithms and trajectory generation (optimization-, search-, or rule-based)
 * Experience building deterministic, safety-critical planning systems
 * A data-driven mindset for large-scale evaluation, debugging, and tuning of planning behavior
 * Proficiency in C++ and experience working in real-time systems
 * Strong systems thinking and cross-functional collaboration skills

Nice to have:

 * Experience designing minimal-risk maneuvers (MRM) or emergency handling behaviors
 * Familiarity with AV safety concepts, ODD constraints, or safety-case-driven development
 * Experience using ML techniques for parameter tuning, calibration, or offline optimization
 * Experience working with degraded sensors, uncertainty, or human-in-the-loop systemsBackground in simulation frameworks or large-scale log analysis

## Description

As a Motion Planning Engineer on the Fallback Stack team, you will design and ship deterministic, safety-critical planning systems that ensure autonomous vehicles behave safely when autonomy degrades or operates under uncertainty. This role emphasizes classical motion planning, predictable behavior, and large-scale evaluation, rather than deep learning-driven planning.

In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and we focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomous systems a reality, Applied is the place for you!

At Applied Intuition, you will:

 * Design and implement classical or ML motion planners for fallback and minimal-risk maneuvers
 * Build planners that operate reliably under degraded perception, partial observability, and system faults
Define and execute safe, deterministic vehicle motions such as controlled slow-downs, pull-overs, and safe stops

 * Use large-scale simulation and real-world data to evaluate planner behavior and guide parameter tuning
Develop metrics, analysis tools, and dashboards to understand planner performance at scale

 * Collaborate closely with behavior prediction, perception, controls, safety, and remote assistance teams
 * Contribute to a reusable fallback platform used across trucking and other autonomy programs


## Related Videos

- [Shift Left On Accessibility - Geri Reid](https://www.wearedevelopers.com/videos/1712-shift-left-on-accessibility-geri-reid)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Progressive Delivery in Kubernetes](https://www.wearedevelopers.com/videos/949-progressive-delivery-in-kubernetes)
- [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready)
- [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery)
- [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution)

## Related Articles

- [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)