Systems Engineer - Robotics
Applied Intuition· Defense
Washington, D.C., Poway, CA$140k - $180kFull-timePosted 1mo ago
About the role
Systems Engineer responsible for defining system requirements, designing architectures, and integrating Applied Intuition’s technology onto autonomous vehicles and defense systems, combining systems engineering, robotics, software deployment, architecture, integration, and real-world testing.
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
- 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
Qualifications
- 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)
- 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
- Systems architecturing and requirements writing experience
- Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions
Skills
Required:System requirements engineeringSystems architectureRobotics software deploymentInter-vehicle communication
Nice to have:Perception pipelines
Benefits
- Base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off
Last updated Oct 11, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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