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Modelling And Simulation Jobs in California (NOW HIRING)

This role focuses on modelling the generation of entangled qubit resource states using linear optical networks in our full-stack simulations. Candidates should have knowledge of linear optics, and ...

Senior Electrical Design Engineer

Irvine, CA · On-site

$111K - $150K/yr

... modelling, simulation, testing using laboratory instrumentation and test equipment, documentation, reliability/qualification/certification validation in line with customer requirements, internal ...

Capture the Flight Physics Modelling and Simulation Methodology for Flight Dynamics * Define the Flight Dynamics Model Validation Strategy including Closed Loop System Validation, incorporation of ...

... modelling /simulation of Microwave RF circuits, Radio Frequency Assemblies (RFAs), Microwave Integrated Circuits (MICs), Integrated Microwave Assemblies (IMAs), Circuit Card Assemblies (CCAs), RF ...

... modelling /simulation of Microwave RF circuits, Radio Frequency Assemblies (RFAs), Microwave Integrated Circuits (MICs), Integrated Microwave Assemblies (IMAs), Circuit Card Assemblies (CCAs), RF ...

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Modelling And Simulation information

What is the difference between Modelling And Simulation vs Data Analyst?

AspectModelling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fieldsBachelor's or higher in statistics, mathematics, or related fields
Work EnvironmentResearch labs, engineering firms, simulation software environmentsBusiness, finance, healthcare, and corporate settings
Industry UsageEngineering, aerospace, defense, manufacturingFinance, marketing, healthcare, retail
Common Search/ComparisonModelling And Simulation vs Data Analyst

Modelling and Simulation professionals focus on creating models and running simulations to predict system behaviors, often in technical or engineering contexts. Data Analysts interpret data to inform business decisions, primarily working with data sets and statistical tools. While both roles involve data handling, Modelling and Simulation emphasizes technical modeling, whereas Data Analysts focus on data interpretation for strategic insights.

What are popular job titles related to Modelling And Simulation jobs in California? For Modelling And Simulation jobs in California, the most frequently searched job titles are:
What job categories do people searching Modelling And Simulation jobs in California look for? The top searched job categories for Modelling And Simulation jobs in California are:
Infographic showing various Modelling And Simulation job openings in California as of June 2026, with employment types broken down into 8% Internship, 35% Full Time, 6% Part Time, 32% Temporary, 1% Contract, and 18% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Modelling & Simulation Engineer

Strativ Group

Hawthorne, CA

Other

Medical, Dental, Vision, Retirement

Posted 11 days ago


Job description

Modeling & Simulation Engineer - Operations Analysis


Location: Hawthorne, CA- 20 minutes from LAX

Onsite requirements: 4 days onsite (Mon-Thurs)

Engagement: 6 month contract to hire (with top performers converting earlier)

Contract type: W2 - with benefits (healthcare, dental, vision, 401k)


We are seeking a highly capable Modeling & Simulation Engineer – Operations Analysis to join our growing engineering team. In this role, you will develop, execute, and analyze high-fidelity simulations that evaluate the performance and effectiveness of advanced aerospace, defense, and autonomous systems in operationally relevant environments.


Minimum Qualifications

  • Bachelor's degree or higher in Aerospace Engineering, Computer Engineering, Software Engineering, Computer Science, Physics, Mathematics, Statistics, Operations Research, Data Science, or a related technical discipline.
  • 5+ years of experience supporting defense, intelligence, aerospace, or advanced technology programs.
  • Demonstrated experience performing quantitative analysis using modeling, simulation, statistical methods, and data-driven decision-making techniques.
  • Strong programming skills in Python and MATLAB, including experience with scientific computing, data analysis, machine learning, and visualization libraries such as NumPy, SciPy, Pandas, Polars, Scikit-Learn, PyTorch, Matplotlib, or equivalent toolsets.
  • Experience developing analytical software tools, data pipelines, and automated workflows.
  • Strong understanding of statistical analysis, uncertainty quantification, Monte Carlo methods, experimental design, and performance assessment methodologies.
  • Experience developing or working with rigid-body and six-degree-of-freedom (6-DOF) simulations.
  • Experience using modern software development practices, including version control, collaborative development workflows, and AI-assisted software development tools.
  • Comfortable working in Linux-based development environments.
  • Eligibility to obtain and maintain a Top Secret / Sensitive Compartmented Information (TS/SCI) security clearance.


Preferred Qualifications

  • Direct experience conducting operations analysis studies using mission-level combat simulations such as AFSIM, ESAMS, Brawler, STK, or equivalent defense-focused modeling environments.
  • Strong background in assessing mission effectiveness through statistically rigorous analysis and operational experimentation.
  • Experience analyzing radar system performance, sensor effectiveness, tracking performance, detection capabilities, and electronic warfare systems.
  • Expertise in modeling and simulation of aircraft, unmanned aerial systems, missiles, spacecraft, communications systems, and advanced sensors.
  • Experience evaluating air-to-air, air-to-surface, surface-to-air, electronic warfare, and multi-domain mission scenarios.
  • Familiarity with Distributed Interactive Simulation (DIS), High-Level Architecture (HLA), and related simulation interoperability frameworks.
  • Experience with visualization and simulation environments such as MAK VR-Forces, SIMDIS, or similar tools.
  • Exposure to autonomy, Guidance Navigation & Control (GNC), PX4, software-in-the-loop (SIL), hardware-in-the-loop (HIL), X-Plane, Gazebo, NVIDIA Omniverse, or related simulation ecosystems.
  • Experience supporting Department of Defense organizations, intelligence agencies, DARPA, AFRL, ONR, Naval Research Laboratory, or similar government research and development organizations.
  • Active TS/SCI security clearance.