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Shield AI

Builds autonomous aircraft for defense

Staff Software Engineer - Autonomy & Motion Planning

Software EngineeringUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A Bachelor of Science, Master of Science, or PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field.
  • Proficiency in production-level C++ software development.
  • At least 7 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.
  • Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management.
  • Ability to lead multidisciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment.
  • Ability to learn and grow individually, mentor junior team members, and build team cohesion and capacity.
  • Ability to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment, and evolution.

Responsibilities

  • Develop tactical autonomy software that enables unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision.
  • Implement and test behaviors that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
  • Work throughout the software development lifecycle from requirements capture through design, implementation, verification, and validation, using tools and workflows consistent with collaborative, high-quality software development.
  • Champion a product-line mindset in technology roadmapping to enable reuse of behaviors across multiple projects and portfolios.
  • Use software and systems expertise to architect behaviors as scalable software subsystems that may interact directly or indirectly with system components such as sensor processing, state estimation, peer-to-peer communications, contingency management, actuation, and payload interfacing.
  • Leverage internal product and program-specific engineering teams to rapidly deliver capabilities to vehicle platforms, with a path toward architecture and capability evolution.
  • Collaborate with external teams to align interfacing requirements between diverse systems, often working closely with vehicle integration teams and operational subject matter experts such as fighter pilots and UAV operators.
  • Act as a software engineering subject matter expert, representing software interests in a multi-stakeholder environment involving engineering, business, and sales leadership.
  • Travel to co-locate with end users or other teams up to 20% of the time.

Desired Qualifications

  • Experience across a range of technology readiness levels and in bridging concepts from research-grade to operationally ready.
  • Experience with mission systems integration, ideally including hands-on support for integration events or flight demonstrations.
  • Experience in collaborative mission planning, behavior planning, or synchronized teaming.
  • Experience with automated red-force versus blue-force tactics.
  • Experience with motion planning across different vehicle classes, kinematic constraints, and team compositions.
  • Experience with weapons target assignment, sensor target pairing, or sensor-centric control laws.
  • Experience with collision avoidance, geofencing, or safety monitoring.
  • Experience in more than one operational effect, such as strike, air combat, or surveillance.

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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