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Shield AI

Builds autonomous aircraft for defense

Senior Software Engineer - Autonomy Behaviors

Software EngineeringUpdated on Nov 14
Full-timeBoston, MA, USA

About the Job

Requirements

  • A BS, MS, or PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field is required.
  • Proficiency in production-level C++ software development is required.
  • At least 5 years of experience in one or more of software subsystem scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls is required.
  • Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management is required.
  • Ability to contribute to the design, development, and integration of complex software systems as part of a multidisciplinary team is required.
  • Demonstrated problem-solving skills and ability to learn new technologies in a fast-paced environment are required.
  • Willingness to collaborate closely with teammates and support team objectives is required.
  • Interest in growing technical skills and, over time, providing guidance to more junior engineers is required.
  • Desire to work in a highly collaborative, fast-paced, and mission-driven environment is required.
  • Must be eligible to obtain and maintain an active U.S. Secret security clearance.

Responsibilities

  • Develop tactical autonomy software that enables unmanned platforms to perform complex missions across air, land, sea, and space domains with limited human supervision.
  • Implement and test behaviors supporting multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
  • Contribute across the software development lifecycle, including requirements, design, implementation, verification, and validation, following established engineering best practices.
  • Collaborate with senior engineers to design and build scalable, maintainable software components that integrate with broader system architecture, including sensor processing, state estimation, communications, and actuation.
  • Support reuse and extensibility of autonomy behaviors by contributing to shared frameworks and codebases.
  • Work with internal product and program teams to deliver capabilities to vehicle platforms, helping ensure successful integration and iteration over time.
  • Collaborate with cross-functional and external teams to align on interfaces and system requirements.
  • Apply software engineering fundamentals to solve complex technical problems while growing domain expertise in autonomy and robotics systems.
  • Travel up to 20% to support integration, testing, and collaboration with end users and partner teams.

Desired Qualifications

  • Experience working with systems at one or more technology readiness levels, including supporting the maturation of research concepts toward operational use.
  • Experience with mission systems integration, including participation in integration events, testing, or demonstrations.
  • Experience in collaborative mission planning, behavior planning, or coordinated teaming.
  • Experience in motion planning across different vehicle types or constraints.
  • Experience in sensor/target pairing, control strategies, or related autonomy functions.
  • Experience with safety systems such as collision avoidance or geofencing.
  • Experience with robotic software ecosystems such as ROS, OMPL, and optimization tools.
  • Experience with simulation tools for testing and validation.
  • Familiarity with navigation and communications systems.
  • Experience contributing to portions of the product development lifecycle.
  • Familiarity with systems engineering principles.
  • Familiarity with high-assurance software practices such as DO-178C or similar standards.

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
Debt Financing
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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