Applied Intuition

Autonomy Integration Software Engineer

Freeport, FL$140k–$175kfulltimemidAdded today

About this role

Applied Intuition seeks an Autonomy Integration Software Engineer to develop and deploy the core infrastructure for autonomous vehicles, managing sensor integration, inter-vehicle communications, and real-world field testing. This role combines office-based systems engineering with hands-on fieldwork, requiring expertise in robotics, autonomous systems, and multi-agent coordination.

What you'll do

Develop and deploy software systems on autonomous vehicles, integrating sensors (RADAR, cameras, GPS) and autopilot systems
Conduct field deployments and real-world testing of autonomous vehicle software, ensuring functionality in dynamic environments
Collaborate with Perception and Autonomy teams to optimize perception pipelines and vehicle control systems
Design and implement inter-vehicle communication systems for collaborative autonomous operations
Develop CI/CD pipelines and manage software integration processes to enhance system reliability
Integrate third-party software, APIs, and simulation environments for testing and validation

What they're looking for

C++ and Python programming
Linux and command-line tools
Robotic systems and autonomous vehicle platforms (PX4, ROS, ROS2)
Sensor integration (RADAR, cameras, GPS, SONAR)
CI/CD tools (Jenkins, GitLab)
Communication protocols (DDS, UDP, ROS2)
Systems engineering and simulation testing
Multi-agent autonomy design

Benefits

Work on cutting-edge autonomous vehicle technology serving major automakers and U.S. military
Blend of office-based engineering and hands-on field deployment opportunities
Collaborative environment with cross-functional teams (software engineers, data scientists, field operators)
Flexible work arrangement with occasional remote work options
Part of a $15 billion company with global offices and industry leadership

Likely interview questions

Describe your experience integrating sensors and autopilot systems into autonomous vehicle platforms. What challenges did you encounter?
Walk us through your CI/CD implementation experience—which tools have you used and how did you optimize deployment pipelines?

Tell us about a time you deployed software in a real-world robotic or autonomous system. How did you handle field failures or unexpected behavior?
What experience do you have with inter-vehicle communication protocols, and how would you design a system for multi-agent coordination?
How do you approach testing autonomous systems in both simulation and real-world environments before field deployment?
Describe your experience with ROS or other robotics middleware—what did you build and what were the integration challenges?
You'll be traveling ~25% for field deployments. How do you balance supporting remote projects while maintaining code quality and documentation?

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