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Shield AI

Builds autonomous aircraft for defense

Manager Environmental Control Systems & Thermal Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • U.S. citizenship is required, and candidates must hold an active Secret or higher clearance.
  • At least 8 years of experience in aerospace environmental control systems, thermal engineering, fluid systems, or comparable aircraft mechanical systems development.
  • Experience directly managing and developing individual contributors, including setting expectations, giving feedback, and supporting career growth.
  • A B.S. or M.S. in Mechanical Engineering, Aerospace Engineering, or a related technical discipline.
  • Deep understanding of thermodynamics, heat transfer, fluid dynamics, and aircraft thermal management.
  • Ability to guide architecture, requirements, analysis, design, integration, and verification through hardware delivery.
  • Sound engineering judgment, early risk identification, and clear communication across technical and program teams.
  • A record of working hard, building trust, maintaining high standards, and treating others with kindness.

Responsibilities

  • Manage, mentor, and develop individual contributors; set goals, give feedback, support growth, and build a high-trust, high-standard team.
  • Set priorities, ownership, staffing, and execution cadence for X-BAT and Group 5 work; remove blockers and manage dependencies.
  • Guide ECS and thermal architecture, trades, and design reviews across thermal environments, cooling, airflow, ducting, heat exchangers, fluid circuits, and related hardware.
  • Set expectations for requirements, reviews, verification, risk management, configuration control, and design release through flight-ready hardware.
  • Resolve interfaces with structures, propulsion, avionics, EWIS, payloads, manufacturing, systems engineering, and test teams.
  • Lead component, qualification, ground, and flight test planning; ensure data, anomaly resolution, and corrective actions support hardware delivery.
  • Set expectations for components, specifications, statements of work, supplier reviews, prototype builds, and acceptance activities.
  • Engage in first-principles analysis and root-cause investigations, coach engineers, and unblock complex technical problems.
  • Represent the team in program and engineering reviews; communicate decisions, risks, progress, resources, and dependencies.

Desired Qualifications

  • Experience managing engineers on UAV, autonomous aircraft, fighter, tactical aircraft, or other high-performance aerospace programs.
  • Experience with Group 5 aircraft, aircraft-level thermal management, environmental control systems, or integrated fluid and thermal systems.
  • Hands-on experience with thermal and fluid testing, instrumentation, data acquisition, model correlation, or flight-test troubleshooting.
  • Experience with first-principles analysis, fluid-thermal network modeling, computational fluid dynamics, or thermal-analysis tools such as FloEFD, STAR-CCM+, Thermal Desktop, Amesim, or Flowmaster.
  • Familiarity with aerospace environmental, qualification, and airworthiness practices, including MIL-STD-810, MIL-HDBK-516, RTCA DO-160, and SAE AIR or ARP standards.
  • Experience with aerospace suppliers, commercial off-the-shelf or custom components, technical specifications, statements of work, and prototype or vehicle-level test setups.
  • Experience hiring, onboarding, and scaling a small engineering team in a rapid research and development or production environment.
  • An advanced degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.

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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