Earth Is Our Runway
Shield AI Logo

Shield AI

Senior Staff Operational Analyst - Ranger (R6385)

Posted Yesterday
Be an Early Applicant
In-Office
Seattle, WA, USA
225K-340K Annually
Senior level
In-Office
Seattle, WA, USA
225K-340K Annually
Senior level
Leads operational analysis, modeling, simulation, and wargaming for autonomous aircraft systems. Evaluates mission effectiveness, survivability, sensor performance, autonomy, and force-on-force engagements in contested environments. Partners with engineering teams, defense stakeholders, operators, and warfighters to inform design decisions, CONOPS, trade studies, and system improvements. Presents technical findings and recommendations to senior leadership, customers, and government agencies.
The summary above was generated by AI
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

We are seeking an Operational Analyst to drive the modeling, simulation, and analysis of Shield AI’s autonomous aircraft systems. This role is pivotal in evaluating the mission effectiveness, survivability, and operational impact of our next gen UAS and other autonomous platforms. You will work closely with engineering, product development, and defense stakeholders to inform design trade-offs, assess system performance, and optimize mission capabilities.

This position requires a deep understanding of military operations, wargaming, modeling & simulation (M&S), and operational analysis techniques. Your work will directly shape Shield AI’s strategy by identifying how our AI-powered aircraft can best serve the evolving needs of modern warfare.

WHAT YOU’LL DO:

  • Develop and execute operational analysis strategies to assess the effectiveness of autonomous aircraft in real-world military scenarios.
  • Lead modeling, simulation, and wargaming efforts to evaluate system performance, mission impact, and survivability in contested environments.
  • Work closely with engineering teams 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.
  • Utilize advanced modeling & simulation tools (e.g., AFSIM, STK, MATLAB, 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 DoD stakeholders, operators, and warfighters to understand mission needs and align system capabilities with operational requirements.
  • Develop and present technical reports, briefings, and recommendations to senior leadership, customers, and government agencies.
  • Support concept of operations (CONOPS) development for new AI-driven aircraft capabilities.
  • Identify emerging threats and operational challenges, ensuring Shield AI’s systems remain ahead of adversary capabilities.

REQUIRED QUALIFICATIONS:

  • 10+ years of experience in operational analysis, modeling & simulation (M&S), or military operations research.
  • Expertise in military mission analysis, operational planning, and wargaming methodologies.
  • Proficiency with AFSIM, STK, MATLAB, Python, or other M&S tools used for aerospace and defense applications.
  • Deep understanding of air combat, ISR, electronic warfare, or autonomous systems in contested environments.
  • Experience working with DoD stakeholders, warfighters, and government agencies to align capabilities with mission requirements.
  • Strong analytical skills with the ability to interpret large datasets and translate findings into actionable insights.
  • Excellent communication and briefing skills, with experience presenting to senior leadership, customers, and military personnel.
  • Ability to work in a fast-paced, agile development environment with shifting priorities.

PREFERRED QUALIFICATIONS:

  • Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.
  • Familiarity with DoD acquisition processes, 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 U.S. Air Force, Navy, or Special Operations Forces.
  • Active Secret clearance (or ability to obtain one).

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
###
 
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Similar Jobs at Shield AI

Yesterday
In-Office
Seattle, WA, USA
230K-350K Annually
Senior level
230K-350K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Designs and leads safety- and mission-critical real-time software architecture for autonomous aircraft mission systems. Responsibilities include defining interfaces, middleware, operating-system integration, distributed processing, resource budgets, and deterministic performance; integrating sensors, navigation, communications, autonomy, and effectors; establishing resilience, cybersecurity, and verification strategies; and supporting development through design reviews, laboratory and flight testing, deployment, and lifecycle modernization.
Top Skills: A-GraAms-GraArp4754ACC++Cpu/Gpu/Fpga AcceleratorsData DistributionDo-178CDo-254Embedded Operating SystemsFaceHardware Abstraction LayersHilInstrumentationInterprocess CommunicationMiddlewareNetwork CapturesNetworkingOmsProfilingRtosRustSilSimulation SystemsTelemetryUci
Yesterday
In-Office
Seattle, WA, USA
200K-300K Annually
Entry level
200K-300K Annually
Entry level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Develop and own embedded C/C++ software for UAV avionics, integrating sensors, payloads, firmware, autonomy systems, and ground control stations. Lead software feature development, architecture, reviews, testing, simulation, documentation, and production delivery. Build tools supporting continuous integration, deployment, test execution, and data analysis. Collaborate with cross-functional aerospace teams, improve systems engineering processes, prototype designs, and report project status and risks to leadership.
Top Skills: BspCC++Continuous IntegrationDo-178CFpgaHardware-In-The-Loop SimulationRtosSystemverilog
Yesterday
In-Office
Seattle, WA, USA
200K-300K Annually
Senior level
200K-300K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Develops and deploys real-time state estimation and sensor-fusion algorithms for Ranger autonomous systems. Processes IMU, radar, camera, GPS, and other sensor data; builds real-time pipelines; optimizes algorithms for constrained hardware; collaborates with software, autonomy, and hardware teams; and validates solutions through experiments and field testing.
Top Skills: C++CamerasComputer VisionCudaFpgaGpsImusInertial NavigationKalman FiltersLinuxParticle FiltersRadar

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account