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 looking for an engineering lead to build and own remote assistance at Applied Intuition. This will be a chance to define and architect the entire remote assistance of our trucking autonomy program, collaborating with systems, safety, and operations. You'll build and lead a team of world class engineers focused on delivering robust architecture, technical milestones, and operational protocols for real-time human intervention in complex or ambiguous scenarios. At Applied Intuition, you will:

• Design and implement the architecture for remote assistance for L4 autonomous trucking
• Lead development of low-latency remote assistance interfaces, decision support tools, and secure communications
• Ensure regulatory compliance and operator situational awareness in real-time support workflows
• Collaborate with safety and autonomy teams to define handoff boundaries and ensure reliable fallback strategies
• Set technical direction and mentor a team of software and systems engineers

We're looking for someone who has:

• 5+ years of industry experience in L4 autonomous driving or related fields
• Proven track record designing and implementing distributed or real-time systems
• Experience with human-in-the-loop or remote operations systems
• Strong communication and cross-functional collaboration skills
• Strong background in architecting systems with and programming in Python and/or C++

Nice to have:

• Background in autonomous trucking
• Familiarity with secure communications and low-latency networking
• MS or PhD in computer science, engineering, or a related field

The salary range for this position is $199,295 USD to $264,500 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.