Simulation Engineer, Lead

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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.

Lead architecture & 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, and TENA and 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 software quality—implement Dev Sec Ops , 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.

Engage 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 & proposals with credible technical volumes, BOEs, and demos that reflect Indo‑Pacific realities.

• Experience with PoR sims such as NGST, AFSIM, AFMSTT, and SAFESIM, and including integrating models, scenarios, and data sources
• Experience with Unity and Unreal Engine with C#/C++
• Experience with real‑time or near‑real‑time simulations
• Experience with NVIDIA Omniverse including USD pipelines, Render and Kit, and Sim Ready assets for collaborative simulation workflows
• Experience with Git such as Git Hub, Git Lab, or Azure Dev Ops, 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 Math and 2+ years of experience in data engineering or 5+ years of experience in data engineering in lieu of a degree

• Experience bridging AFSIM with Unity, Unreal, or Omniverse and composing multi‑engine pipelines
• Experience with GPU & 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 & edge deployment such as AWS, Azure, and Gov Cloud/IL environments, IaC including Terraform, and secure networking
• Knowledge of RMF or STIG and secure software practices for classified environments
• Knowledge of JADC2, Indo‑Pacific operational context, and mission thread decomposition
• TS/SCI
• Master's degree preferred;
  Doctorate degree in Engineering or Computer Science a plus
• DoD 8570 Baseline, NVIDIA Omniverse, Unity, or Unreal Certification

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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