- Robot type
- Autonomous Vehicle · Robot AI and Software
- Location
- ArlingtonVirginiaUSA
- Job type
- Hardware
- Posted
- Sep 21, 2026
- Salary
- $140,000–$180,000 a year
Systems Engineer - Robotics
This job has closed.
Applied Intuition is no longer taking applications for this role. See open roles at Applied Intuition or browse similar open jobs.
Job description
Applied Intuition, Inc. 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.;
Job responsibilities
- Define system requirements from user needs on operational concepts
- Define system and system-of-systems architectures and align with open standards such as FACE, A-GRA, etc.
- Design and build out reference architectures for multiple systems of interest including autonomy systems, mission systems, and weapon systems
- Lead the development of system engineering models and artifacts to capture key design decisions
- 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 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
Job requirements
- MS or PhD in Systems Engineering, Robotics Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, Computer Engineering, Optimization, or equivalent
- 5 years of relevant experience designing multi-agent autonomy
- Strong proficiency in Linux, command-line tools, and agentic tooling
- Strong proficiency in C++ and Python
- Hands-on experience with robotic systems, sensors (such as RADAR, cameras, radar), and vehicle autopilots (e.g., PX4, ROS) -> something out of those
- Knowledge of communication protocols for inter-vehicle communications (e.g., DDS, ROS 2, or similar)
- Experience in integrating third-party software and APIs
- Experience with standards such as A-GRA, FACE, ARP 4754A, DO-178C, or similar.
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