Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead systems engineering for a next-generation unmanned aircraft system. Responsibilities include defining system architecture, behaviors, requirements, interfaces, fault responses, and traceability; integrating avionics, autonomy, propulsion, sensors, and mission systems; conducting MBSE modeling, trade studies, safety analyses, flight testing, and performance validation; and coordinating cross-functional teams, DoD stakeholders, and government partners through development and operational deployment.
Top Skills:
Ai-Driven Flight ControlAutonomy SystemsAvionicsCameoDoorsElectronic WarfareFaa Airworthiness StandardsGovernment Reference ArchitecturesIsrMbseMil-StdMosaSysmlUas
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead systems engineering for a next-generation autonomous UAS, including system architecture, requirements decomposition, behavior modeling, avionics and autonomy integration, safety analysis, trade studies, flight testing, and performance validation. Collaborate with hardware, software, propulsion, manufacturing, flight operations, DoD stakeholders, and government agencies to develop a mission-ready aircraft from clean sheet through first flight and deployment.
Top Skills:
Ai-Driven AutonomyAutonomous Aircraft SystemsAvionicsCameoDoorsEwFaa Airworthiness CertificationGovernment Reference ArchitecturesIsrMbseMil-StdMosaSysmlUas
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead operational analyses and M&S to evaluate autonomous aircraft effectiveness, survivability, and mission impact. Build and run mission- and campaign-level models, perform trade studies and sensitivity analyses, engage DoD stakeholders, translate findings into system requirements and CONOPS, prepare technical reports/briefings, and coach junior analysts while applying reproducible, version-controlled analysis workflows.
Top Skills:
AfsimBrawlerEsamsGitMatlabMbsePythonStkSysml
Perform operational analysis, modeling, simulation, and wargaming to evaluate autonomous aircraft performance, survivability, and mission impact. Build and analyze mission-level models, run trade studies and sensitivity analyses, engage DoD stakeholders, inform CONOPS and system design, monitor threats, and produce technical reports and briefings. Apply reproducible analysis practices and collaborate with engineering and product teams.
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 a Staff 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:
- 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.
Required qualifications:
- Bachelor’s degree in science, technology, engineering or math domain.
- 7+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles.
- Active Secret at minimum, preferred active 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.
- Expertise in applicable design reference mission development such as OCA or SEAD.
- Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing
- DoD Program experience as analysis task lead
- Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred)
- Expertise providing program critical analysis for system design and integration/test.
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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.
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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.
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