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Shield AI

Builds autonomous aircraft for defense

Director – Systems Engineering and Architecture

Engineering LeadershipPosted on Nov 6
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • At least 15 years of applied systems engineering experience with complex, multidisciplinary systems, including direct involvement in development, integration, verification, and delivery.
  • Demonstrated success leading engineering teams and senior technical talent, setting technical direction, and driving execution across organizational boundaries.
  • Deep experience with requirements development and management, including decomposition, allocation, traceability, interface requirements, baselining, and change control.
  • Demonstrated ability to develop system architectures and use system models to analyze structure, behavior, interfaces, constraints, and design tradeoffs.
  • Experience defining verification methods, measurable acceptance criteria, representative validation scenarios, and the evidence needed to assess system readiness.
  • Experience applying systems engineering within software development lifecycles, including iterative development, continuous integration, testing, configuration management, and release processes.
  • Demonstrated ability to improve engineering maturity in an iterative development environment, tailoring rigor to technical risk and achieving measurable delivery benefits rather than process adoption alone.
  • Ability to lead specialists across cybersecurity, safety, and airworthiness disciplines and communicate technical decisions and risks clearly to engineering, executive, and customer stakeholders.
  • Experience with autonomy software, AI-enabled systems, robotics, mission systems, or autonomy development platforms and tools.
  • A degree in a relevant engineering or computer science discipline, or equivalent practical experience.
  • Familiarity with SysML and Cameo or similar system modeling tools.
  • Experience delivering aerospace or defense systems with government customers, platform integrators, or operational users.
  • Practical experience with safety-critical development, hazard analysis, airworthiness planning, and compliance or certification evidence.
  • Experience translating threat assessments and security obligations into requirements, architectural controls, and verification activities.

Responsibilities

  • Hire, develop, and lead the systems engineering and architecture engineering disciplines, establishing clear responsibilities, technical standards, and effective cross-functional partnerships.
  • Define how systems engineering and architecture engages with product and engineering teams, prioritizes competing demands, and allocates resources; establish decision rights, escalation paths, and risk-proportionate engineering practices.
  • Guide requirements development and management, system modeling, architectural trade studies, interface definition, traceability, and change impact analysis.
  • Establish system-level verification and validation strategies, measurable acceptance criteria, and evidence expectations; partner with integration and test teams to demonstrate end-to-end capability.
  • Integrate systems engineering and architecture into iterative planning, design, implementation, testing, release readiness, and sustainment.
  • Ensure cybersecurity, safety, and airworthiness considerations shape requirements, architecture, development, and verification from the outset.
  • Lead risk-based design reviews, resolve cross-team technical issues, and provide evidence-based readiness recommendations while preserving designated approval and risk-acceptance authorities.
  • Establish and continuously improve practical methods, models, and workflows connecting requirements, architecture, implementation, and evidence; measure success through earlier risk discovery, reduced rework, improved integration and release predictability, and timely closure of verification and assurance gaps.

Desired Qualifications

  • An advanced technical degree is a plus.
  • Experience applying model-based systems engineering and scaling engineering practices without unnecessary process overhead.

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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