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Shield AI

Builds autonomous aircraft for defense

Senior Staff Lab Manager

Engineering LeadershipUpdated on Nov 14
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Systems Engineering, Computer Science, or a related technical discipline is required.
  • At least 10 years of experience supporting complex engineering laboratories or technical infrastructure is required.
  • At least 5 years of technical leadership or people management experience is required.
  • Demonstrated experience designing and building engineering labs from concept through deployment is required.
  • Strong understanding of laboratory infrastructure, including power distribution, network architecture, server and storage systems, instrumentation, environmental controls, and safety systems is required.
  • Experience managing equipment lifecycle, maintenance, calibration, upgrades, and modernization is required.
  • Experience supporting multidisciplinary engineering organizations is required.
  • Experience in laboratory infrastructure design and architecture is required.
  • Experience in system-level engineering and integration is required.
  • Experience with networking, including Ethernet, VLANs, managed switches, and routing, is required.
  • Experience with hardware-in-the-loop (HIL) and software-in-the-loop (SIL) systems is required.
  • Experience with asset management and inventory systems is required.
  • U.S. citizenship is required due to security clearance requirements.
  • An active Secret clearance is required.

Responsibilities

  • Own the overall vision, architecture, and roadmap for engineering laboratory infrastructure.
  • Design, build, and commission new laboratory spaces to support evolving engineering programs.
  • Define standards for laboratory layout, power distribution, networking, cooling, safety, security, and scalability.
  • Develop long-term modernization plans to keep laboratory capabilities aligned with engineering needs.
  • Evaluate and implement technologies, tools, and automation to improve laboratory efficiency and reliability.
  • Own day-to-day laboratory operations across multiple engineering disciplines.
  • Develop scheduling processes that maximize laboratory utilization while minimizing conflicts and downtime.
  • Plan and coordinate preventative maintenance, calibration, repairs, and equipment lifecycle management.
  • Manage laboratory uptime, availability, and operational readiness.
  • Establish operational metrics, key performance indicators, and reporting for laboratory performance.
  • Support complex hardware-in-the-loop, software-in-the-loop, integration, and validation environments.
  • Develop laboratory standards for networking, compute infrastructure, storage, instrumentation, and data acquisition.
  • Partner with engineering teams to architect robust development and test environments.
  • Ensure laboratories support rapid system integration and reproducible testing.
  • Lead and develop a multidisciplinary team of laboratory engineers, infrastructure engineers, and technicians.
  • Recruit, mentor, and grow technical staff.
  • Prioritize work across multiple concurrent engineering programs.
  • Establish standard operating procedures, documentation, and best practices.
  • Foster a culture of safety, ownership, continuous improvement, and technical excellence.
  • Work closely with Hardware, Electrical, Mechanical, Software, Systems, Manufacturing, and Test Engineering organizations.
  • Partner with IT, Facilities, Security, and EH&S teams to deliver reliable and secure laboratory environments.
  • Manage vendor relationships for laboratory equipment, infrastructure, and service providers.

Desired Qualifications

  • Experience supporting robotics, aerospace, defense, automotive, or autonomous systems development is preferred.
  • Experience with secure laboratory environments and classified or regulated development environments is preferred.
  • Knowledge of systems engineering processes and system architecture is preferred.
  • Experience implementing laboratory automation and infrastructure-as-code practices is preferred.
  • Familiarity with cloud-connected engineering workflows and hybrid infrastructure is preferred.
  • Programming and scripting experience, including Python, MATLAB, or C/C++, is preferred.
  • An active Top Secret clearance or eligibility to achieve one is preferred.

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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