Simulation Engineer, Lead

Simulation Engineer, Lead The Opportunity: You build the synthetic worlds that help warfighters decide faster. As a Lead Simulation Engineer, you’ll fuse Program of Record ( PoR ) sims, including NGST, AFSIM, AFMSTT, and SAFESIM, with real‑time engines such as Unity and Unreal Engine as well as NVIDIA Omniverse to deliver credible, interoperable LVC environments for Indo‑Pacific missions. You’ll set technical direction, mentor engineers, and partner with operators to turn mission questions into data‑driven outcomes. What You’ll Work On: Lead architecture and technical delivery of mission‑grade simulation solutions spanning AFSIM, AFMSTT, SAFESIM, and NGST and real‑time engines such as Unity, Unreal, and Omniverse, ensuring scale, fidelity, and interoperability. Integrate DIS, HLA, TENA, USD, and Omniverse pipelines for multi‑domain LVC exercises, wargames, and operational analysis. Translate operational concepts, including CONOPS, TTPs, MOP, and MOE into scenarios, models, and data flows aligned to Indo‑Pacific mission threads. Own sof tware quality and implement DevSecOps, CI / CD, automated testing, code reviews, and model validation against ground truth. Mentor and grow a high‑performing team to drive backlog, estimation, and delivery against mission milestones. E nga ge with stakeholders across Service components such as air, maritime, cyber, and space to capture needs and demonstrate outcomes. Advance performance and realism via GPU acceleration, multi‑node orchestration, and sensor or weapon modeling. Support capture and proposals with credible technical volumes, BOEs, and demos that reflect Indo‑Pacific realities. Join us. The world can’t wait. You Have: Experience with PoR sims such as NGST, AFSIM, AFMSTT, and SAFESIM, including integrating models, scenarios, and data sources Experience with Unity and Unreal Engine with C# or C++ Experience with real‑time or near‑real‑time simulations Experience with Git, including GitHub, GitLab, or Azure DevOps, CI / CD, test automation, and containerization such as Docker or Kubernetes Experience with modeling and analysis translating operational needs into measurable outcomes such as MOP and MOE, scenario design, and validation Knowledge of HLA, DIS, and TENA LVC architectures and gateway translation Ability to obtain a TS / SCI clearance Bachelor's degree in Computer Science, Engineering, or Applied Mathematics and 2+ years of experience in data engineering, or 5+ years of experience in data engineering in lieu of a degree Nice If You Have: Experience bridging AFSIM with Unity, Unreal, or Omniverse and composing multi‑engine pipelines Experience with NVIDIA Omniverse, including USD pipelines, Render and Kit, and SimReady assets for collaborative simulation workflows Experience with GPU and HPC optimization such as CUDA and multi‑GPU orchestration, physics‑based modeling, or synthetic sensor simulation Experience with Agile leadership, including Scrum and Kanban, backlog management, and mentorship of mid‑level engineers Experience with Cloud and edge deployment such as AWS, Azure, and GovCloud / IL environments, IaC, including Terraform, and secure networking Knowledge of RMF or STIG and secure sof tware practices for classified environments Knowledge of JADC2, Indo‑Pacific operational context, and mission thread decomposition TS / SCI clearance Master's degree preferred ; Doctorate degree in Engineering or Computer Science a plus DoD 8570 Baseline, NVIDIA Omniverse, Unity, or Unreal Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .

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