On-site

Applied Intuition is hiring an Application Engineer - Autonomous Trucking

About the Role

Applied Intuition is seeking an Application Engineer - Autonomous Trucking to serve as the bridge between product, engineering, and customer teams. You will ensure L4 trucking solutions are successfully deployed, integrated, and optimized for real-world operations by working closely with OEM partners and internal development teams to configure, validate, and troubleshoot the autonomous driving stack.

What You'll Do

  • 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 aligns with 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.

What We're Looking For

  • Bachelor’s or Master’s degree in Engineering, Computer Science, or a 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 on-road or off-road environments.
  • Strong problem-solving skills and the ability to diagnose complex hardware/software issues.
  • Excellent communication skills for cross-functional collaboration and customer engagement.

Nice to Have

  • Experience with L4 autonomous trucking deployments.
  • Experience with real-time middleware for robotics applications.
  • Knowledge of HD maps, V2X communication, and remote assistant systems used in autonomous vehicle operations.
  • Hands-on experience with vehicle calibration tools, perception tuning, or control parameter optimization.
  • Prior experience in customer-facing technical roles within the automotive or robotics industries.
  • Ability to use Japanese for technical communication with customers and engineering teams.

Technical Stack

  • Linux, Python, C++
  • CAN/Ethernet communication
  • LiDAR, radar, camera, drive-by-wire systems
  • Autonomous driving software (perception, localization, planning, control)
  • Real-time middleware, HD maps, V2X communication, remote assistant systems
  • Vehicle calibration tools

Team & Environment

You will work closely with OEM partners and internal development teams.

Benefits & Compensation

  • Salary range: $105,000 - $165,000 USD annually
  • 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
  • Paid time off

Work Mode

This is an onsite role based in Mountain View, California, United States.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor that prohibits discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibits discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin.

Required Skills
C++PythonLinuxCAN/Ethernet communicationLiDARradarcameradrive-by-wire systemsautonomous driving softwareperceptionlocalizationplanningcontrolreal-time middleware
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About company
Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. It delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market.

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Job Details
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Posted 7 months ago