Manager of Engineering - Autonomous Pilot Integration (R5153)

Shield AI
US
On-site

Who this role is best for

Aimed at mid-level engineering managers who bridge autonomy software development and real-world defense system deployments.

Best fit for

  • Engineers with hands-on autonomy software experience transitioning to team leadership.
    — “lead a team of autonomy engineers working on launched effects programs
  • Technical leaders comfortable with rapid defense program cadences and field deployments.
    — “This portfolio runs at a fast cadence — frequent Capability Release milestones
  • Managers who maintain coding proficiency while overseeing system integration.
    — “stay technically active — close enough to the code and the integration work

Things to consider

  • Expect frequent live exercises and deployments in air-gapped environments.
    — “demanding live exercises — and you'll set the pace for your team
  • Requires coordination across multiple technical teams and external vendors.
    — “partner closely with the Autonomy Capabilities and Perception teams, feature crews

How to stand out

  • Demonstrate experience with full autonomy development lifecycle from simulation to field testing.
    — “own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop
  • Highlight specific examples of mentoring engineers through complex technical challenges.
    — “mentoring them through hard technical work, and shaping their career development
  • Showcase multi-agent system experience relevant to defense applications.
    — “operate in multi-agent fleets and frequently in disconnected or air-gapped environments
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • team delivery
  • technical health of area
Typical background
autonomy software development

Skills & requirements

Required

Autonomy SoftwareMulti-agent CoordinationIntegration WorkTechnical Leadership

Preferred

Defense-tech Experience

Stack & domain

EngineeringAutonomy SoftwareMotion PlanningTacticsTrack FusionHivemindsdkMulti-agent CoordinationContingenciesExecutive AutonomyHardware-in-the-loopVehicle-in-the-loopLive Test ExerciseAutonomous SystemsDefense TechnologyLeadershipTeam ManagementTechnical Decision-makingCollaborationProject ManagementTechnical CommunicationDefenseTechnology

About the role

Original posting from Shield AI via Lever

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers. Our engineers write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.

In this role, you'll lead a team of autonomy engineers working on launched effects programs — owning their delivery, their growth, and the technical health of your area. A core part of the job is growing the team: hiring strong engineers, mentoring them through hard technical work, and shaping their career development. You'll stay technically active — close enough to the code and the integration work to make sound technical decisions, to be credible to your team, and to lead them through the design, development, and delivery of a major capability or program. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, autopilot vendors (e.g., PX4, ArduPilot), C2 providers, and customer/contractor partners that staff and operate alongside our team. This portfolio runs at a fast cadence — frequent Capability Release milestones, multi-agent fleet operations, air-gapped deployments at scale, and demanding live exercises — and you'll set the pace for your team accordingly.

Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.

Source: Shield AI careers (Lever)

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