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CHAOS Industries

Develops military sensor and radar systems

Operations Research Analyst - Mission Engineering

Aerospace EngineeringConfirmed live in the last 24 hours
Full-timeEl Segundo, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree or higher in Computer Science, Aerospace Engineering, Software Engineering, Computer Engineering, Data Science, Statistics, Mathematics, Operations Research, Physics, or a related field.
  • At least 5 years of experience supporting defense, intelligence, or advanced technology programs through industry or government employment.
  • A demonstrated track record leading mission-level operations analysis studies and delivering decision-quality results to senior engineering and customer stakeholders.
  • Extensive direct experience with combat simulations such as AFSIM, ESAMS, Brawler, Ansys STK, or equivalent, including ownership of rigorous methodology rather than execution alone.
  • Significant experience developing analytical tools and applying rigorous statistical methods to interpret and present results.
  • Strong proficiency in Python and MATLAB, including standard scientific computing libraries such as Pandas, Polars, NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, CuPy, or PyTorch.
  • Exceptional data visualization skills and comfort developing CONOPS/OV-1 visuals and briefing packages.
  • Proficiency with software development practices, including version control and leveraging and validating outputs of AI-assisted coding tools.
  • Demonstrated ability to lead analytical efforts and deliver products with minimal oversight, including leading projects and studies.
  • Comfort working on Linux-based systems and writing scalable scripts and software.
  • Experience briefing flag/general officer or SES-level audiences.
  • Eligibility to obtain a Top Secret/Sensitive Compartmented Information clearance.

Responsibilities

  • Scope, plan, and execute modeling and simulation efforts and studies aligned to program objectives, managing competing priorities and timelines effectively.
  • Develop, configure, and execute analysis using mission-level models and simulations such as AFSIM, ESAMS, Brawler, Ansys STK, and/or physics-based models to evaluate system and platform performance in operationally relevant scenarios.
  • Build and refine models of sensors, communications systems, aircraft (including unmanned aircraft), weapons, and spacecraft within mission-level simulation frameworks.
  • Architect, implement, and validate models of blue and red systems, sensors, communications, weapons, aircraft, spacecraft, and ground/maritime platforms within mission- and engagement-level simulation frameworks.
  • Define and apply rigorous statistical methodologies to simulation results to quantify measures of effectiveness and performance and produce relevant, defensible findings for internal and external stakeholders.
  • Develop and maintain Python-based analysis tools and pipelines for data processing, statistical analysis, and visualization.
  • Implement technical methodology, simulation best practices, and customer engagement.
  • Document methodology, assumptions, and findings in technical reports and briefing materials, including data visualizations, and present results to technical and non-technical audiences.
  • Partner with engineering, product, growth, and customer teams to translate operational questions into well-structured analytical approaches and shape new business pursuits; challenge incorrect problem framing.

Desired Qualifications

  • Active Top Secret/Sensitive Compartmented Information clearance.
  • Recognized expertise analyzing the full kill chain (find, fix, track, target, engage, assess) across multiple domains, including air-to-air, air-to-surface, surface-to-air, space, and electronic warfare engagements.
  • Deep expertise in sensor performance analysis, especially radar, and in developing and validating models of sensors, communications, weapons, aircraft, spacecraft, or ground/maritime systems in mission-level simulation environments such as AFSIM or Ansys STK.
  • Experience leading study teams or technical working groups across organizations, including model accreditation, verification and validation efforts, or threat-informed scenario development.
  • Experience designing and analyzing large-scale Monte Carlo and design of experiments-driven simulation campaigns supporting system effectiveness or kill chain assessment.
  • Exposure to Distributed Interactive Simulation networking and visualization tools such as MAK VR-Forces, SIMDIS, or similar.
  • Experience supporting rapid development programs across DoD services, DARPA, ONR, AFRL, combatant commands, the acquisition community, or commercial advanced technology programs.
  • Experience supporting capture and positioning activities, including RFI/RFP responses, white papers, and technical exchanges, and shaping new business pursuits.

About the Company

CHAOS Industries

Develops military sensor and radar systems

Chaos Industries builds defense technology by creating sensor, radar, and network systems for military and security use. Its Coherent Distributed Networks (CDN) synchronizes a network of sensors to improve detection and situational awareness across land, sea, and air, enabling earlier threat warnings. Its product line includes Vanquish multistatic radar for early warning and tracking of unmanned systems and missiles, the HYDRA software-defined platform for detection and communications, and ASTRIA for long-range mobile multi-object tracking; it has formed an Aerospace Division after acquiring Ziva Corporation and Atropos Group. The company targets U.S. and allied defense clients, focusing on software-driven systems that can be updated and deployed quickly, with the goal of delivering faster reactions and better national security readiness while expanding production and advancing its technology roadmap.

Company size
201-500
Company stage
Series D
Total funding
$1B
Headquarters
Los Angeles, CA
Founded
2022

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