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Applied Intuition

Software Engineer - Motion Planning (Fallback Stack)

SunnyvaleOnsite · United States
FullTime · Software Engineering - Self-Driving
POSTED 12 MARVERIFIED 50M AGO
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Pay · posted
$151k–240k
H-1B median $163k
Open for
236d
since 12 Mar
H-1B · FY26
97
4 PERM · UK sponsor
Hiring · 30d
322
+5 net · open roles
C++

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.

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

4+ 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

Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering, or related field

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

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Source · Applied Intuition · AshbyFirst seen 2 NovOriginal ↗Method