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Shield AI

Builds autonomous aircraft for defense

Senior Staff Engineer - Operations Analysis

Data ScienceUpdated on Nov 15
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in a science, technology, engineering, or math domain is required.
  • A minimum of 10 years of related experience in operational analysis, modeling and simulation, operations research, or related defense or aerospace roles is typically required.
  • An active Secret clearance at a minimum is required.
  • Prior experience in force-on-force analysis, concepts of operations development, or military campaign modeling is preferred.
  • Experience evaluating strategic development and analysis goals for multi-mission and multi-domain applicability is preferred.
  • Familiarity with Department of Defense acquisition processes, tools such as Brawler and ESAMS, the Joint Capabilities Integration and Development System, and military operational testing is preferred.
  • Experience leading a product effort from pre-shaping to tactical deployment is preferred.
  • Prior experience in systems engineering product development lifecycle is preferred; SysML or model-based systems engineering is preferred.
  • Experience developing technical expertise in a team to execute analyses for system design and analysis is preferred.
  • A Top Secret clearance, or ability to obtain one, is preferred.

Responsibilities

  • Plan, own, and execute operational analyses to assess autonomous-system effectiveness in representative military scenarios.
  • Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
  • Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
  • Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
  • Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar modeling and simulation frameworks.
  • Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission-effectiveness assessments.
  • Engage with Department of Defense stakeholders, operators, and analysts to understand mission needs and operational constraints.
  • Contribute to the development and refinement of concepts of operations for AI-enabled aircraft capabilities.
  • Monitor emerging threats and operational challenges relevant to autonomous and air-combat systems.
  • Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders.
  • Apply modern compute and development best practices, including version control, scripting, scalable compute workflows, and reproducible analysis, to build and maintain reliable analysis pipelines.
  • Coach and develop incoming talent.

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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