Application Engineer - Autonomous Trucking
Mountain View, Santa Clara County, California, 94039, USA
Listed on 2026-01-24
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Engineering
Systems Engineer, Robotics, Cybersecurity, Electrical Engineering
Join to apply for the Application Engineer - Autonomous Trucking role at Applied Intuition
Join to apply for the Application Engineer - Autonomous Trucking role at Applied Intuition
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
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
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.
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Note:
For Epi Sci job openings, fully remote work will be considered by exception.)
About
The Role
We are seeking a highly skilled and motivated Application Engineer to join our autonomous trucking program. In this role, you will serve as the bridge between our product, engineering, and customer teams, ensuring our L4 trucking solutions are successfully deployed, integrated, and optimized for real-world operations. You will work closely with OEM partners and internal development teams to configure, validate, and troubleshoot our autonomous driving stack in the targeted Operation Designed Domain.
This is a hands-on role where technical expertise, problem-solving, and customer-facing skills come together to accelerate the adoption of autonomous trucking
At Applied Intuition, you will:
- Collaborate with OEM(s) to integrate and deploy autonomous driving software into trucking platform(s)
- Collect and analyze customer requirements, translate them into precise technical specifications, and work closely with cross-functional development teams to ensure system design and features align with defined customer use cases
- Conduct root cause analysis and drive resolution for technical issues during development and customer adoption
- Train customer engineering teams on system usage, troubleshooting, and development workflows.
- Document configuration guides, troubleshooting manuals, and integration best practices
- Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
- 3+ years of experience in applications engineering, systems integration, or field engineering for autonomous vehicles, robotics, or automotive systems.
- Strong knowledge of vehicle CAN/Ethernet communication, sensors (LiDAR, radar, camera), and drive-by-wire systems.
- Proficiency in Linux and Python, with basic C++ debugging skills for autonomous driving software
- Experience working with autonomous driving software (perception, localization, planning, control) in…
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