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Applied Intuition · 1 day ago

Autonomy Engineer

Washington, DC

Full-time

Hybrid

Entry, Mid Level

$120K/yr - $180K/yr

2+ years exp

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. As an Autonomy Engineer on the Air Combat Autonomy team, you will design and implement architectures for Tactical autonomy applications, developing software for autonomous aircraft systems and collaborating with military experts to enhance autonomy solutions.

Artificial Intelligence (AI)Autonomous VehiclesEnterprise SoftwareInfrastructureSoftware

No H1B

U.S. Citizen Only

Responsibilities

Write software that operates real autonomous aircraft systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions

Build, leverage, and improve robotic autonomy software architectures that are ultimately tested and deployed on real systems to accomplish military missions

Implement, leverage and improve state-of-the-art unmanned aerial system (UAS) autonomy solutions to sense, make sense, decide, and act in the context of tactical military missions

Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate autonomy software onto OEM hardware

Implement and optimize autonomy algorithms for tasks such as sensor processing, track propagation and correlation, environment mapping, mission and trajectory planning, reasoning over discrete or uncertain states, optimization, learning, and control theory

Qualification

Autonomous robotic systemsPythonC++Software architectureSensor processingMission planningData visualizationDockerLinuxDefense modelingROS

Required

Bachelors degree in computer science/related engineering field

2+ years of hands-on experience developing software for autonomous robotic systems

Experience in developing software for autonomous robotic systems

High proficiency in Python or C++ programming languages

Strong functional, procedural, data-oriented, and object-oriented programming experience employing clean code principles and good design patterns/principles

Must be willing to travel as projects requires; estimated average travel is once every other month for between 2 days up to 1 week (~10%)

Must be a U.S. Citizen

Must hold or be eligible to obtain and maintain a U.S. security clearance

Preferred

Ability to use data visualization and debugging tools to support autonomous agent development

Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries

Proficiency in the Rust and C++ (version 17 and later) programming languages

Experience working with defense modeling and simulation tools such as AFSIM and NGTS

Experience working with mission and autonomy architecture frameworks such as OMS UCI and ROS