← All roles

Autonomy Integration Software Engineer

Applied Intuition· Engineering
Apply on company site
Ann Arbor, MI$140k - $175kfull-timePosted 6mo ago

About the role

Autonomy Integration Software Engineer focused on developing, deploying, and maintaining the backbone of all-domain autonomy capabilities, with emphasis on field deployment, sensor interfaces, and integration with vehicle hardware and simulation environments at Applied Intuition in Ann Arbor, MI.

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
  • 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
  • Collaboration & Documentation: Collaborate with cross-functional teams, including software engineers, data scientists, and field operators, to ensure the successful deployment of systems. Document processes and provide updates on system status and improvements

Qualifications

  • 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

Skills

Required:LinuxPythonC++Robotic systems & sensorsVehicle autopilotsCI/CDInter-vehicle communication

Benefits

  • base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

More open roles at Applied Intuition