GNC Software Engineer

What you'll do

• Prototype and deploy algorithms for global and local path planning and trajectory optimization.
• Develop high-performance software for real-time C2 systems and autonomous tasking services.
• Design robust planners and search algorithms for navigation in dynamic and contested environments.
• Analyze system performance using high-fidelity simulations and rigorous statistical techniques.
• Customize algorithms for mission-critical use cases like collaborative autonomy and threat avoidance.
• Integrate path planning technologies into the broader software stack and development lifecycle.
• Translate technical progress into actionable insights for colleagues, operators, and end-users.

What we're looking for

• Proficiency in algorithm design, software development, and mathematical modeling using C/C++, Python, and Matlab.
• Strong knowledge of path planning techniques including graph-based search, sampling-based planners, and lattice or grid-based planners.
• Demonstrated experience in guidance, navigation, and control, trajectory optimization, and predictive models for vehicle dynamics.
• Solid understanding of applied mathematics including linear algebra, optimization, computational geometry, and graph theory.
• Knowledge of vehicle dynamics, kinematic constraints, and control theory for autonomous ground, air, or maritime platforms.
• Familiarity with map representations, terrain reasoning, and handling large-scale geospatial data in distributed C2 architectures.
• Background in machine learning as applied to planning and decision-making, including reinforcement learning and behavior prediction.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.