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Shield AI

Builds autonomous aircraft for defense

Engineer II – New Grad - Software, Autonomy Capabilities

Software EngineeringPosted on Nov 11
Full-timeUnited States

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, and 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 be able to contribute in the other language with support.
  • Have experience with Linux development, Git, debugging, and automated software tests.
  • Have applied experience through work, research, or substantial projects in robotics, planning, controls, artificial intelligence, simulation, or autonomy software.
  • Be able to complete a bounded feature with tests and communicate where guidance or design decisions are needed.
  • Be able to obtain a Secret clearance.

Responsibilities

  • Implement C++ changes to planning, mission behavior, coordination, or contingency capabilities using established designs.
  • Build unit, integration, and simulation tests; define expected results for assigned work and investigate failures.
  • Analyze logs and scenario results to identify behavioral, configuration, or interface issues and verify fixes.
  • Help integrate reusable capabilities with platform and mission software, perception inputs, and operator-facing interfaces.
  • Improve examples, documentation, configuration, and developer tools that make a capability easier to validate and adopt.
  • Coordinate with autonomy, perception, integration, simulation, and ground control station/command and control teammates on assigned interfaces.
  • Communicate progress, risks, test evidence, and open questions in reviews and debriefs.

Desired Qualifications

  • Experience with motion planning, state machines, multi-agent coordination, decision-making, or optimization.
  • Experience with robotics middleware, simulation frameworks, continuous integration, or distributed systems.
  • Familiarity with integrating algorithms into production software and evaluating behavior in representative scenarios.

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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