Autonomous Simulation Software Engineer

Build the simulated worlds where autonomous UUVs learn, fail, improve, and prove they’re ready for the real one. Leidos is looking for an Autonomous Simulation Software Engineer to build the software and simulation infrastructure behind next-generation uncrewed underwater vehicles and maritime autonomous systems. Autonomous systems operating underwater face a uniquely unforgiving environment: limited communications, uncertain navigation, imperfect sensors, complex vehicle dynamics, and missions where the software must make good decisions without waiting for help. We need simulation environments capable of reproducing those challenges with enough fidelity to develop, integrate, test, and ultimately trust the autonomy that operates in them. This is a hands-on software engineering role for someone who enjoys building simulators, modeling complex systems, and creating reusable simulation frameworks. You’ll develop software that models vehicles, sensors, environments, interfaces, faults, and behaviors—giving engineers the ability to exercise mission software repeatedly before putting a vehicle in the water. You’ll directly support a growing programwhile also helping evolve and expand our MAGMA-based Simulation Framework, creating simulation capabilities that can be reused across vehicles, missions, and programs. We already have engineers who know autonomy and engineers who have built simulation capability out of necessity. We’re looking for someone who brings simulation engineering as a discipline—and who wants to help us take that capability much further. Why This Role Is Different You’ll build simulations that engineers actually depend on , not visualization demos. You’ll model real systems and real failure modes , including vehicles, sensors, environments, interfaces, and mission behaviors. You’ll help increase simulation fidelity , closing the gap between what happens in software and what happens when a vehicle enters the water. You’ll shape a growing simulation framework , not simply write scenarios against a finished product. You’ll work directly with autonomy and vehicle engineers , using simulation to find problems earlier and accelerate development. You’ll have room to experiment , developing new approaches for modeling, simulation, test, and analysis that can grow beyond a single program. If you enjoy building software that recreates complicated real-world systems—and seeing that software make an engineering team faster and a deployed system more reliable—this is the role.

Build high-fidelity simulation software using modern C++, Java, and Python on Linux-based systems to model autonomous vehicles, sensors, environments, interfaces, and mission behavior. Expand and evolve our MAGMA-based Simulation Framework , developing reusable simulation components, interfaces, models, tooling, and architectural patterns that can support multiple vehicles and programs. Increase simulation fidelity by working with autonomy, systems, hardware, and test engineers to identify the behaviors and interactions that matter most and represent them effectively in software. Model complex systems and behaviors , translating vehicle characteristics, sensor behavior, environmental effects, system interfaces, and operational constraints into useful software models. Enable autonomy development and test , creating simulation environments where mission software can be exercised repeatedly across nominal, edge-case, degraded, and failure scenarios before deployment to real hardware. Architect scalable simulation infrastructure , emphasizing modularity, extensibility, deterministic behavior where appropriate, performance, and reuse across different platforms and levels of simulation fidelity. Connect simulation to production software , integrating simulated components with real autonomy and mission software through representative interfaces and protocols. Build tools that accelerate engineering