Senior AI-Driven M&S Integrator

Parallax Advanced Research; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Job summary

Parallax Advanced Research is seeking a candidate to integrate traditional Live, Virtual, and Constructive (LVC) M&S with AI-based M&S to tackle evolving military challenges. You will apply innovative modeling, simulation, AI, and analytical techniques to support operational planning, mission analysis, and force-level decision-making.

Key responsibilities include developing force-level M&S capabilities, designing visualization methods, applying LLMs to support planning and decision-making, and

Qualifications

• Experience with Live, Virtual, and Constructive (LVC) Modeling and Simulation (M&S) concepts.

Responsibilities

• Conduct operational planning and analysis using advanced modeling and simulation techniques.
• Develop force-level M&S capabilities to evaluate complex military operations and scenarios.
• Design novel visualization methods to communicate complex simulation results and operational insights effectively.
• Apply Large Language Models (LLMs) and other AI technologies to support mission planning, execution, and decision-making.
• Conduct large-scale, complex analyses that integrate diverse data, models, simulations, and AI capabilities.
• Develop innovative AI-enabled M&S approaches that are scalable, adaptable, and address emerging operational challenges.
• Collaborate with multidisciplinary teams to translate complex military problems into innovative analytical and simulation solutions.

Job description

Parallax Advanced Research is seeking a candidate to integrate traditional Live, Virtual, and Constructive (LVC) M&S with AI-based M&S to tackle evolving military challenges. You will apply innovative modeling, simulation, AI, and analytical techniques to support operational planning, mission analysis, and force-level decision-making.

Key responsibilities include developing force-level M&S capabilities, designing visualization methods, applying LLMs to support planning and decision-making, and