Autonomy Integration Software Engineer

Applied Intuition•Ann Arbor, MI

1d•Hybrid

About The Position

Applied Intuition, Inc. is a Silicon Valley company founded in 2017 and valued at $15 billion, focused on powering the future of physical AI by creating digital infrastructure for intelligent moving machines. They serve the automotive, defense, trucking, construction, mining, and agriculture industries with solutions in tools and infrastructure, operating systems, and autonomy. The company is headquartered in Sunnyvale, California, with offices globally. Applied Intuition operates as an in-office company, expecting employees to primarily work from the office 5 days a week, while also offering flexibility for occasional remote work or adjusted schedules to accommodate personal commitments. As an AcuityOS engineer, this role involves developing, deploying, and maintaining the core of all-domain autonomy capabilities, including inter-agent communications and hardware/simulation interfaces. A critical aspect of the position is the integration with new vehicles and hardware. This role requires a blend of field and office-based work, with significant time dedicated to deploying and testing software on autonomous vehicles in real-world environments.

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++ (most work is in C++)
Hands-on experience with robotic systems, sensors (such as RADAR, cameras, radar), and vehicle autopilots (e.g., PX4, ROS)
Experience with CI/CD tools such as Jenkins, GitLab, or similar tools for automating deployments and testing
Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, UDP, ROS2, etc.)
Experience in integrating third-party software and APIs
Must be willing to travel as projects requires; average travel varies, but can be up to once a month for up to 1 week (~25%)
Must be a U.S. Citizen
Must hold or be eligible to obtain and maintain a U.S. security clearance

Nice To Haves

Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions
Excellent communication skills, both written and verbal, with the ability to document processes and communicate technical concepts to cross-disciplinary teams
Ability to work in a fast-paced, evolving environment, as well as working under challenging conditions in remote or field locations
Familiarity with maritime vessels and/or airborne drones

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 proper functionality in dynamic, real-world environments
Work directly with sensors (e.g., RADAR, cameras, GPS, SONAR) and vehicle autopilot systems, integrating them into the autonomous vehicle framework
Work with the Perception and Autonomy teams to deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW, ensuring robust and safe vehicle operation
Address inter-vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations
Interface with and integrate third-party software and APIs into our systems
Work on software integration, Continuous Integration/Continuous Deployment (CI/CD) processes, and implement system-related improvements to enhance system performance and reliability
Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment
Collaborate with cross-functional teams, including software engineers, data scientists, and field operators, to ensure the successful deployment of systems. Document processes and provide updates on system status and improvements