Applied Intuition

Autonomy Integration Software Engineer

Poway, CA$140k–$175kfulltimemidAdded today

About this role

Applied Intuition seeks an Autonomy Integration Software Engineer to develop and deploy the core software systems powering autonomous vehicles, working with sensor integration, inter-vehicle communication, and real-world field testing. The role combines office-based development with hands-on fieldwork, requiring expertise in robotics, C++, Linux, and autonomous systems architecture.

What you'll do

Develop and deploy software systems on autonomous vehicles, integrating sensors (RADAR, cameras, GPS) and autopilot systems
Conduct field testing and real-world validation of autonomy software on vehicles in dynamic environments
Collaborate with Perception and Autonomy teams to optimize perception pipelines and vehicle control software
Design and maintain inter-vehicle communication systems for collaborative autonomous operations
Build and improve CI/CD pipelines using tools like Jenkins or GitLab for automated testing and deployment
Integrate third-party software, APIs, and simulation environments for system validation

What they're looking for

C++ and Python programming
Linux and command-line tools
Robotic systems and sensor integration (RADAR, cameras, autopilots)
Communication protocols (DDS, UDP, ROS2)
CI/CD tools (Jenkins, GitLab)
Vehicle autopilot platforms (PX4, ROS)
Third-party software integration
Simulation and testing frameworks

Benefits

Work on cutting-edge autonomous vehicle technology at a $15B company
Hands-on field deployment experience with real autonomous systems
Collaborative environment with cross-functional engineering teams
Access to advanced simulation and testing environments
Primary office-based role with flexibility for occasional remote work

Likely interview questions

Describe your experience integrating multiple sensor types (RADAR, camera, GPS) into an autonomous system and how you handled sensor fusion challenges.
Walk us through a time you deployed software on a robotic or autonomous platform in the field—what issues did you encounter and how did you resolve them?

How have you designed or debugged inter-vehicle communication systems, and what communication protocols have you worked with?
Tell us about your experience with CI/CD pipelines—which tools have you used and how did you improve deployment reliability?
Describe a complex integration project where you had to work with third-party APIs or software—how did you approach compatibility and testing?
What experience do you have with ROS, PX4, or similar robotics frameworks, and how did you apply that in a production environment?
How would you prioritize and manage the tradeoffs between field testing schedules and maintaining code quality in a rapidly evolving autonomy project?

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