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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GNC Software Engineer - **Company:** Anduril Industries - **Location:** Waltham, MA, United States - **Salary:** $146,000.0 - $194,000.0 - **Contract:** Permanent contract - **Skills:** Algorithm Design, C++ (Programming Language), Computer Programming, Graph Theory, Python (Programming Language), Search Algorithms, MATLAB, Machine Learning, Motion Planning, Computational Geometry, Software Engineering, Software Requirements Analysis, Reinforcement Learning, Multi-Agent Systems - **Published:** July 2, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9008792/gnc-software-engineer ## About the Role * Proficiency in algorithm design, software development, and mathematical modeling with programming expertise in C/C++, Python, and Matlab. * Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling-based planners (RRT, RRT*, PRM), and lattice or grid-based planners. * Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6-DoF simulation, intercept analysis). * Solid understanding of applied mathematics, including linear algebra, optimization, computational geometry, and graph theory. * Knowledge of vehicle dynamics, kinematic constraints, and control theory as applied to autonomous ground, air, or maritime platforms tasked through C2 systems. * Familiarity with map representations, terrain reasoning, and the efficient handling of large-scale geospatial and environmental data within distributed C2 architectures. * Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction. * Ability to engineer robust systems for planning under uncertainty, multi-agent coordination, and operation in complex, dynamic, contested environments. * Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems. * Eligible to obtain and maintain an active U.S. Top Secret security clearance. ## Description * Define and influence the direction of a small team within the Command and Control Software organization, leveraging your subject-matter expertise in path planning and route optimization. * Prototype and deploy state-of-the-art algorithms for global and local path planning, trajectory optimization, and multi-agent coordination within command and control systems. * Develop high-performance software for real-time C2 systems, ranging from operator-facing mission planning tools to autonomous tasking and routing services that orchestrate fleets of unmanned platforms. * Design and implement robust planners, search algorithms, and decision-making systems that generate safe, feasible, and optimal routes in dynamic, uncertain, and contested environments. * Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate planner behavior across diverse mission scenarios. * Drive customer success by customizing algorithms and software for mission-critical use cases, including collaborative autonomy, asset routing, and obstacle and threat avoidance. * Integrate path planning technologies into the broader command and control software stack and development lifecycle, from requirements definition through testing and optimization. * Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues, operators, and end-users., To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: * No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. 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