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Shield AI

Builds autonomous aircraft for defense

Engineer 2 New Grad - Software, Autonomous Pilot Integration

Embedded EngineeringPosted on Nov 11
Full-timeWashington, DC, USA

About the Job

Requirements

  • Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related field, graduating between December 2026 and August 2027.
  • Typically have 2 or more years of related experience with a Bachelor's degree, or equivalent work experience; relevant graduate work or substantial project experience may be considered.
  • Have working proficiency in C++ or Python and experience implementing, debugging, and testing a software feature on Linux.
  • Have hands-on experience building autonomy or robotics software through professional work, research, or substantial projects, rather than solely configuring or deploying existing tools.
  • Have experience with software integration, simulation, or representative system testing and be able to complete a bounded change with tests and documentation.
  • Be able to communicate risks and interface assumptions with engineers from other disciplines.
  • Be able to obtain a Secret clearance.

Responsibilities

  • Implement and test C++ changes to mission behavior, platform-specific pilot extensions, configuration, and autonomy-side diagnostics.
  • Develop and apply supported core pilot behaviors for a defined platform or mission set, and bring reusable improvements back into the team's pilot baseline.
  • Validate autonomy use of vehicle-control, perception, mission-compute, and C2 interfaces using established contracts; implement an assigned adapter only when ownership is explicit.
  • Build unit, integration, and mission-scenario tests; reproduce and debug behavior or interface issues using logs, telemetry, and simulation.
  • Support SIL/HIL, bench, and representative test events; capture evidence of mission behavior and verify fixes with guidance from a program technical lead.
  • Coordinate platform-interface and deployment issues with Integration & Test or platform owners, and work with the Autonomy Capabilities team on defects or enhancements to shared planning and decision-making capabilities.
  • Document mission configuration, limitations, test procedures, and lessons learned for future program work.

Desired Qualifications

  • Experience with mission behaviors, vehicle/autopilot interfaces, sensor or perception data, or C2 workflows.
  • Familiarity with SIL/HIL, pub-sub systems, containers, CI, telemetry analysis, or field testing.
  • Experience collaborating with platform vendors or systems and test engineers.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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