Senior GNC Software Engineer

What you'll do

• Prototype and deploy algorithms for global and local path planning, trajectory optimization, and multi-agent coordination.
• Develop high-performance software for real-time C2 systems and autonomous tasking for unmanned platform fleets.
• Design and implement robust planners and search algorithms for dynamic, uncertain, and contested environments.
• Analyze system performance using high-fidelity simulations and rigorous statistical techniques to validate planner behavior.
• Customize algorithms and software for mission-critical use cases like collaborative autonomy and threat avoidance.
• Integrate path planning technologies into the broader command and control software stack and development lifecycle.
• Translate technical progress into clear, actionable insights for colleagues, operators, and end-users.

What we're looking for

• 8+ years of experience in algorithm design, software development, and mathematical modeling.
• Programming expertise in 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 (GNC), 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.
• 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.