LVC Simulation Integration Engineer

Responsibilities

• Support the experimentation, testing, and training of Tactical AI agents through the development of live, virtual, and constructive (LVC) simulation solutions, balancing fidelity, scale, time, and cost.
• Research and learn new modeling, simulation, and communication tools, including internal and customer-owned prototype software under active development.
• Work with 3rd party vendors to incorporate proprietary models while respecting intellectual property boundaries.
• Mentor junior engineers and provide technical leadership, fostering a culture of learning and using good coding practices, design patterns, and industry standards.
• Write, modify, test, and debug efficient code (C++ 2017+, Python 3.10+, and other languages as needed) for adapters, translators, and more complex interfaces.
• Design robust LVC integrations that meet performance, scalability, and security requirements.
• Lead the design, development, and improvement of integrated LVC simulation solutions for experimentation, testing, and training of multi-agent autonomy software.
• Design and document LVC architectures, create simulation scenarios, write interface code, conduct code reviews, and solve integration roadblocks.
• Translate requirements into technical solutions while collaborating with cross-functional teams.
• Contribute to CI/CD pipelines and security compliance.
• Continuous innovation, testing, debugging, and documentation.

Requirements

• Master’s degree or equivalent experience in modeling & simulation, computer science, or software engineering.
• Experience using simulation interoperability standards such as DIS, HLA, and DSEEP, as well as custom methods and technologies, to build LVC federations.
• Knowledge of communication protocols and serialization mechanisms such as DDS, ZeroMQ, Kafka, Redis, and protobuf.
• Experience configuring, integrating, extending, and using defense M&S tools such as AFSIM, NGTS, and flight simulators.
• 3+ years of hands-on experience developing performant modern C++ (2017+).
• Experience developing in Docker and containerized development environments, working in Linux-based operating systems (e.g., RHEL, Ubuntu), and using development tools such as git, Visual Studio Code, GitLab, SonarQube, and Artifactory or Azure Container registry.
• Willing to travel for company business between our offices, as well as to customer sites (~25%).
• Must be a U.S. Citizen.
• Must hold or be eligible for a U.S. Secret security clearance.

Nice-to-Haves

• PhD degree in related engineering field.
• 7+ years of experience developing software in multiple programming languages.
• Experience working with government interoperability architectures such as OMS/UCI.
• Experience working with model-based systems engineering artifacts, hardware-in-the-loop testing environments, and multi-level security environments.
• Experience with high performance computing (HPC) environments.
• Experience with flight test readiness and airworthiness processes.