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 and ensuring functionality in dynamic, real-world environments
• Interface with sensors (RADAR, cameras, GPS, SONAR) and vehicle autopilot systems to integrate them into the autonomous framework
• Collaborate with Perception and Autonomy teams to optimize perception pipelines and vehicle autonomy software
• Address inter-vehicle communication to ensure seamless data exchange for collaborative operations
• Integrate third-party software and APIs into existing systems
• Utilize simulation environments to test and validate vehicle systems before field deployment
• Implement CI/CD processes to enhance system performance and reliability

Requirements

• MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent (or 5 years of relevant experience in multi-agent autonomy)
• Strong proficiency in Linux and command-line tools
• Strong proficiency in Python and/or C++ (primary work is in C++)
• Hands-on experience with robotic systems, sensors, and vehicle autopilots (e.g., PX4, ROS)
• Experience with CI/CD tools such as Jenkins or GitLab
• Knowledge of communication protocols like DDS, UDP, or ROS2
• U.S. Citizenship is required
• Ability to obtain and maintain a U.S. security clearance

Preferred Qualifications

• Ability to troubleshoot and deploy systems in challenging field environments
• Familiarity with maritime vessels and/or airborne drones
• Excellent technical communication skills for documenting processes and collaborating with cross-disciplinary teams

About the Company

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