Senior Autonomy Systems Engineer — Multi-Agent UAVs

Shield; Arlington (VA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Shield AI in Arlington, VA seeks a Senior Autonomy Engineer to design and implement advanced unmanned aircraft autonomy, covering motion planning, behavior modeling, decision making, and multi-agent coordination across air, land, and sea domains. You will collaborate with perception, planning, simulation, hardware, and flight-test teams to deploy robust autonomy solutions to real platforms.

You will blend classical autonomy with machine learning, implement behavior architectures for coordinated

Qualifications

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or equivalent practical experience.
• Typically requires years of related experience with varying degrees as detailed in the posting.
• Proficiency in C++ and Python; familiarity with RTOS.

Responsibilities

• Design tactical autonomy algorithms for unmanned aircraft across air, land, and sea domains with minimal human supervision.
• Develop high-performance software modules for planning, decision-making, and behavior execution in dynamic environments.
• Implement and test multi-agent coordination and target engagement architectures for contested scenarios.
• Integrate autonomy with ML approaches to deliver robust, adaptive behavior in real-world platforms.
• Collaborate with perception, planning, simulation, hardware and flight-test teams to ensure seamless integration.

Skills

C++

Python

Robotics

Motion Planning

Unmanned Systems

RTOS

Education

BS/MS in STEM fields or equivalent

PhD (optional)

Tools

AFSIM

NGTS

Job description

Shield AI in Arlington, VA seeks a Senior Autonomy Engineer to design and implement advanced unmanned aircraft autonomy, covering motion planning, behavior modeling, decision making, and multi-agent coordination across air, land, and sea domains. You will collaborate with perception, planning, simulation, hardware, and flight-test teams to deploy robust autonomy solutions to real platforms.

You will blend classical autonomy with machine learning, implement behavior architectures for coordinated