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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
Ann ArborMichiganUSA
Job type
Software
Posted
Aug 31, 2026
Salary
$130,000–$175,000 a year
Full-time

Autonomy Integration Software Engineer

Job description

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.;

Job responsibilities

  • Systems Engineering: Develop, deploy, and validate software systems on autonomous vehicles, focusing on robotics, sensors, and vehicle autopilots
  • Field Deployment & Testing: Participate in hands-on fieldwork, deploying software on vehicles and ensuring proper functionality in dynamic, real-world environments
  • Interfacing with Sensors and Autopilots: Work directly with sensors (e.g., RADAR, cameras, GPS, SONAR) and vehicle autopilot systems, integrating them into the autonomous vehicle framework
  • Perception & Autonomous Modules: Work with the Perception and Autonomy teams to deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW, ensuring robust and safe vehicle operation
  • Communication Systems: Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations
  • Third-Party Software Integration: Interface with and integrate third-party software and APIs into our systems
  • Software Quality & CI/CD: Work on software integration, Continuous Integration/Continuous Deployment (CI/CD) processes, and implement system-related improvements to enhance system performance and reliability
  • Simulation & Testing: Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment

Job requirements

  • MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 5 years of relevant experience designing multi-agent autonomy
  • Strong proficiency in Linux and command-line tools
  • Strong proficiency in Python and/or C++ (most work is in C++)
  • Hands-on experience with robotic systems, sensors (such as RADAR, cameras, radar), and vehicle autopilots (e.g., PX4, ROS)
  • Experience with CI/CD tools such as Jenkins, GitLab, or similar tools for automating deployments and testing
  • Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, UDP, ROS2, etc.)
  • Experience in integrating third-party software and APIs
  • Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~25%)
Apply on Applied Intuition websiteSave

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