S

Shield AI

Builds autonomous aircraft for defense

Senior Engineer - Operations Analyst

Aerospace EngineeringUpdated on Nov 14
Full-timeArlington County, Arlington, VA, USAIn-person

About the Job

Requirements

  • At least 5 years of experience in operational analysis, modeling and simulation, or military operations research.
  • Expertise in military mission analysis, operational planning, and wargaming methodologies.
  • Proficiency with AFSIM, STK, MATLAB, or other modeling and simulation tools used for aerospace and defense applications.
  • Deep understanding of air combat, intelligence, surveillance, and reconnaissance (ISR), electronic warfare, or autonomous systems in contested environments.
  • Experience working with Department of Defense stakeholders, warfighters, and government agencies to align capabilities with mission requirements.
  • Ability to apply modern compute, data science, and software development best practices, including cloud and high-performance computing workflows, containerization, Git-based version control, continuous integration and continuous delivery, automated testing, and reproducible analysis, to build and maintain reliable simulations and analytics.
  • Experience presenting to senior leadership, customers, and military personnel.
  • Ability to work in a fast-paced, agile development environment with shifting priorities.

Responsibilities

  • Develop and execute operational analysis strategies to assess autonomous aircraft effectiveness in real-world military scenarios.
  • Lead modeling, simulation, and wargaming efforts to evaluate system performance, mission impact, and survivability in contested environments.
  • Work with engineering teams and product managers to translate operational insights into design decisions and system improvements.
  • Conduct trade studies and sensitivity analyses to assess system performance under varying operational conditions and threats.
  • Use advanced modeling and simulation tools, including AFSIM, STK, MATLAB, and Python, to develop high-fidelity mission models.
  • Analyze force-on-force engagements, sensor effectiveness, and autonomy-driven decision-making to optimize mission success.
  • Collaborate with Department of Defense stakeholders, operators, and warfighters to understand mission needs and align system capabilities with operational requirements.
  • Support concept of operations (CONOPS) development for new AI-driven aircraft capabilities.
  • Identify emerging threats and operational challenges to keep company systems ahead of adversary capabilities.
  • Develop and present technical reports, briefings, and recommendations to senior leadership, customers, and government agencies.
  • Use scalable cloud and high-performance computing workflows, containerization, version control, continuous integration and continuous delivery, and automated testing to build, run, and iterate high-fidelity simulation and analysis pipelines.

Desired Qualifications

  • Prior experience in force-on-force analysis, concept of operations (CONOPS) development, or military campaign modeling.
  • Familiarity with Department of Defense acquisition processes, the Joint Capabilities Integration and Development System (JCIDS), and military operational testing.
  • Experience integrating AI-driven decision-making algorithms into operational analysis frameworks.
  • Prior military service or experience working with the U.S. Air Force, Navy, or Special Operations Forces.
  • Experience using generative AI to structure problems and create simulation or analysis tools.
  • Active Secret or Top Secret clearance, or ability to obtain one.

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

Recently Posted Jobs

Explore more opportunities at Shield AI

See more jobs