About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com.

We are an in-office company, and our expectation is that 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. (Note: For EpiSci job openings, fully remote work will be considered by exception.)

About the role We are seeking an engineering manager to shape the technical vision and architecture for our autonomous trucking stack, driving integration with OEM partners and ensuring production readiness to achieve deployment goals in both the US and Japan. In this role, you’ll guide cross-functional teams, oversee project milestones, manage risks, and engage directly with industry executives and regulatory organizations. You’ll also help recruit top talent as the team grows. Join us and play a key role in advancing commercial autonomous trucking solutions on a global scale. At Applied Intuition, you will:

• Own and evolve the technical vision and architecture for the autonomous trucking stack.
• Lead technical strategy for the program, covering all aspects of perception, planning, localization, control, and systems integration to meet commercial deployment goals in the US and Japan.
• Collaborate with our partner OEM to ensure seamless integration with vehicle platforms and production readiness.
• Guide cross-functional technical teams in milestone planning, risk management, and technical reviews.
• Serve as a technical ambassador for the program internally and externally, including working with top executives in the trucking industry, and driving regulatory and partner interactions.
• Participate in recruiting efforts to grow the autonomous trucking team with top talent

We're looking for someone who has:

• 6+ years of industry experience in autonomous vehicles (trucks or cars)
• 2+ years of experience as a technical lead or engineering manager, guiding teams through complex projects.
• Extensive experience architecting and delivering autonomous vehicle systems
• Technical expertise in perception, planning, localization, control, and systems integration for autonomous vehicles
• Strong communication skills, with the ability to represent technical programs to external partners such as industry executives

Nice to have:

• Prior experience with commercial deployment of autonomous trucking solutions in the US
• Experience scaling teams and recruiting top technical talent in the autonomy or automotive space
• MS or PhD in robotics, computer science, electrical engineering, or a related field
• Japanese language familiarity or experience working with Japanese OEMs

The salary range for this position is $204,000 - $343,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices.

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.