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Salary
$180k – $270k per year
Location
In office (Seattle)
Seniority
Staff · 9+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Shield AI is an American defence technology company founded in 2015 that builds autonomy software and uncrewed aircraft for military missions. Its Hivemind autonomy stack lets aircraft fly, navigate and complete objectives without GPS, a remote pilot or a communications link, which matters in contested environments where those links are jammed. Headquartered in San Diego, California, the company fields the V-BAT vertical take-off aircraft with United States and allied forces, licenses Hivemind to other manufacturers and is developing the X-BAT jet for high-end missions.

Job Description:

We are seeking a Senior Lead Operational Analyst to contribute to the modeling, simulation, and analysis of Shield AI’s aircraft systems. In this role, you will perform analysis at the component, system, mission and campaign levels to evaluate the effectiveness, survivability, and operational impact of our aircraft across multiple domains, missions and applications. You will collaborate closely with engineering, product, and defense stakeholders to assess system performance, inform design trade-offs, and improve mission outcomes.

This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI’s AI-powered platforms perform in realistic and contested operational environments.

What you'll do:

  • Plan, own and execute operational analyses to assess the effectiveness of autonomous systems 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 M&S frameworks.
  • Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
  • Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
  • Contribute to the development and refinement of concepts of operations (CONOPS) 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 (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.
  • Be a force multiplier by coaching and developing incoming talent.

Required qualifications:

  • Bachelor’s degree in science, technology, engineering or math domain.
  • 9+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles.
  • Active Secret at a minimum. Preferred Top-Secret clearance (or ability to obtain one).
  • Ability to obtain a S//SAR level security clearance desired.

Preferred qualifications:

  • Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.
  • Experience with evaluating strategic development and analysis goals for multi-mission/multi-domain applicability.
  • Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing.
  • Experience leading a product effort from pre-shaping to tactical deployment
  • Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred)
  • Experience developing technical expertise in a team to execute analyses for system design and analysis.
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