C++ Software Engineer (Autonomous Systems)

Applied Intuition•Ann Arbor, MI

1d•Onsite

About The Position

Applied Intuition is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co . We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. As a Software Engineer, you’ll develop, deploy, and maintain the backbone of all-domain autonomy capabilities, from inter-agent communications to hardware and simulation interfaces. Integration with new vehicles and hardware is a critical function. This position requires both field and office-based work, with significant time spent deploying and testing software on autonomous vehicles in real-world environments.

Requirements

BS, MS or PhD in Robotic Engineering, Computer Science, Computer Engineering, Optimization, or equivalent OR 3+ 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