GNC Software Engineer

What you'll do

• Prototype and deploy state-of-the-art algorithms for global/local path planning and multi-agent coordination.
• Develop high-performance software for real-time command and control systems to orchestrate fleets of unmanned platforms.
• Design robust search algorithms and decision-making systems for navigation in dynamic, contested environments.
• Analyze system performance using high-fidelity simulations and statistical techniques to validate planner behavior.
• Customize algorithms for mission-critical use cases including collaborative autonomy and obstacle avoidance.
• Integrate path planning technologies into the full software development lifecycle from requirements to optimization.
• Translate technical progress into actionable insights for stakeholders, 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 (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.
• Familiarity with map representations, terrain reasoning, and handling large-scale geospatial data in distributed architectures.
• Background in machine learning as applied to planning and decision-making, including reinforcement learning and behavior prediction.
• Eligibility to obtain and maintain an active U.S. Top Secret security clearance.