Autonomy Systems Engineer — Field Deployment & Robotics

Applied Intuition; Poway (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Applied Intuition is seeking a Systems Engineer to define system requirements, architect systems, and integrate technology onto autonomous vehicles and defense systems. You will design architectures, develop models, and deploy software across field and office environments, collaborating with software, autonomy, and data science teams to ensure robust deployment.

The role involves hands‑on fieldwork, testing in dynamic environments, and ensuring safe vehicle operation with perception pipelines

Qualifications

• MS or PhD in Robotic Engineering, Aerospace Engineering, Electrical 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++
• Hands‑on experience with robotic systems, sensors (e.g., RADAR, cameras, lidar), and vehicle autopilots (e.g., PX4, ROS) — including those platforms
• Knowledge of communication protocols for inter‑vehicle communications (e.g., DDS, ROS 2)
• Experience in integrating third‑party software and APIs
• Experience with standards such as PYRAMID, FACE, ARP 4754A, DO‑178C
• Systems architecting and requirements writing experience
• Ability to work in field environments, troubleshooting, testing, and deploying systems in challenging conditions

Responsibilities

• Define system requirements from user needs on operational concepts
• Define system and system‑of‑systems architectures and align with open standards such as PYRAMID, FCADE, 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

Skills

Robotics

Python

C++

Linux

Autonomy systems

ROS / PX4

DDS / ROS 2

Systems architecture

Field testing

Inter-vehicle comms

Education

MS/PhD in Robotic Engineering, Aerospace Eng, Electrical Eng, CS, Computer Eng, Optimization (or equivalent)

5 years of relevant experience in multi-agent autonomy

Tools

N/A

Job description

Applied Intuition is seeking a Systems Engineer to define system requirements, architect systems, and integrate technology onto autonomous vehicles and defense systems. You will design architectures, develop models, and deploy software across field and office environments, collaborating with software, autonomy, and data science teams to ensure robust deployment.

The role involves hands‑on fieldwork, testing in dynamic environments, and ensuring safe vehicle operation with perception pipelines