Applied Intuition
Autonomy Integration Software Engineer
$130K–$175K
Ann Arbor · On-site · Full-time · Posted Oct 19, 2026
- Experience
- 2+ years of professional industry experience; alternatively, 5 years of relevant experience designing multi-agent autonomy may substitute for the stated education requirement.
- Education
- MS or PhD in Robotics Engineering, Computer Science, Computer Engineering, or Optimization, or equivalent; alternatively, 5 years of relevant experience designing multi-agent autonomy.
- Visa sponsorship
- Must be a U.S. citizen; must hold or be eligible to obtain and maintain a U.S. security clearance.
About the job
Develops and deploys autonomy software on vehicles, integrating hardware, sensors, communications, and simulation systems, with substantial field testing.
What you'll do
- Develop, deploy, and validate software for autonomous vehicles, including sensors and autopilots.
- Integrate perception and autonomy modules, communications, and third-party software; improve CI/CD and reliability.
- Test systems in simulation and real-world field environments, collaborating across teams and documenting results.
What they ask for
- MS or PhD in Robotics Engineering, Computer Science, Computer Engineering, or Optimization, or equivalent; alternatively, 5 years of relevant experience designing multi-agent autonomy.
- 2+ years of professional industry experience.
- Proficiency in Linux and command-line tools, and Python and/or C++ (most work is in C++).
- Hands-on robotics, sensor, and vehicle-autopilot experience; CI/CD, communication protocols, and third-party integration experience. Must be a U.S. citizen and hold or be eligible to obtain and maintain a U.S. security clearance.
Nice to have
- Familiarity with maritime vessels and/or airborne drones.
- Field troubleshooting, testing, and deployment experience in challenging conditions.
Pay
$130K – $175K (base salary)
Tools
Linux, Python, C++, RADAR, PX4, ROS, Jenkins, GitLab
AI focus
Deploys and integrates perception and autonomy software for autonomous vehicles and collaborative multi-agent operations.
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