Level

Applied Intuition

Senior Software Engineer - Planning

Applied Intuition is hiring a Senior Software Engineer - Planning in Tokyo, Japan. Level rates it ; you can apply on Applied Intuition.

Level's read on this job

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions c, motion planning and autonomous vehicles among its tools and skills.
  • Level classes it as a senior role.
  • Applied Intuition has 327 other open roles on Level.

AI in this role

Senior Software Engineer designing deterministic, safety-critical motion planning systems for autonomous vehicles.

cmotion-planningautonomous-vehiclesrobotics

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, 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, 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:

  • 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 systems.

  • Background in simulation frameworks or large-scale log analysis.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

FOR US-BASED ROLES: Applied Intuition is committed to providing an accessible and inclusive application and interview experience to applicants who are disabled veterans and other applicants with disabilities or medical conditions. Reasonable accommodations are available, requesting an accommodation will not affect your candidacy in any way, and you are not required to disclose the nature of your disability or medical condition in order to make a request.
If you require an accommodation please contact careers@applied.co. We will work with you!

How we rate this

Senior Software Engineer - Planning at Applied Intuition rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

CMotion PlanningAutonomous VehiclesRobotics

Also common in software engineer jobs at this level

Pay

Typical software engineer job
$168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where c was part of your work. What did you do?
  2. Tell me about a project where motion planning was part of your work. What did you do?
  3. Tell me about a project where autonomous vehicles was part of your work. What did you do?
  4. Tell me about a project where robotics was part of your work. What did you do?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: C, Motion Planning, Autonomous Vehicles, and Robotics. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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