Software Engineer - Motion Planning (Fallback Stack)
Applied, Sunnyvale
- Pay
- $151K – $240K
- Work type
- Onsite
- Level
- Not stated
- Area
- Software engineering, ML / AI engineering
- Posted
- Mar 12, 2026
About the role
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co http://applied.co.
We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions
ABOUT THE ROLE
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
WE'RE LOOKING FOR SOMEONE WHO HAS:
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Listed on Applied's Ashby job board; checked 18 h ago. First seen by us 20 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.