Autonomy Integration Software Engineer

Responsibilities

• Develop, deploy, and validate software systems on autonomous vehicles focusing on robotics, sensors, and vehicle autopilots
• Participate in hands-on fieldwork, deploying software on vehicles in real-world environments
• Interface with sensors such as RADAR, cameras, GPS, and SONAR
• Work with Perception and Autonomy teams to optimize perception pipelines
• Address inter-vehicle communication and seamless data exchange
• Integrate third-party software and APIs into existing systems
• Implement CI/CD processes to enhance system performance and reliability
• Leverage simulation environments to validate software behavior

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++
• Hands-on experience with robotic systems, sensors, and vehicle autopilots (e.g., PX4, ROS)
• Experience with CI/CD tools like Jenkins or GitLab
• Knowledge of communication protocols such as DDS, UDP, or ROS2
• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance
• Willingness to travel up to 25% of the time

Preferred Qualifications

• Ability to troubleshoot and deploy systems in challenging field environments
• Familiarity with maritime vessels and/or airborne drones

About the Company

Applied Intuition is powering the future of physical AI, creating the digital infrastructure needed to bring intelligence to every moving machine on the planet across automotive, defense, trucking, construction, mining, and agriculture industries.