Senior GNC Software Engineer

Anduril’s Battelspace Awareness Command and Control Software team is seeking a Senior GNC Software Engineer to advance autonomous mission capabilities through global and local path planning, trajectory optimization, and real-time command and control software designed for contested environments.

Role Focus

In this role, you will work on path planning, trajectory optimization, and state-of-the-art real-time C2 software to enable autonomous execution for mission-critical operations. The work spans planners and decision-making systems, multi-agent coordination, and fleet routing across dynamic, uncertain, and contested scenarios.

Responsibilities

• Shape and influence the direction of a small team within the Command and Control Software organization using expertise in path planning and route optimization.
• Prototype and deploy algorithms for global and local path planning, trajectory optimization, and multi-agent coordination inside command and control systems.
• Build high-performance real-time C2 software, including operator-facing mission planning tools and autonomous tasking and routing services for fleets of unmanned platforms.
• Design and implement robust planners, search algorithms, and decision-making systems that produce safe, feasible, and optimal routes under uncertainty.
• Evaluate system performance using high-fidelity simulations, modeling tools, and rigorous statistical methods to validate planner behavior across mission scenarios.
• Support customer success by tailoring algorithms and software for mission-critical use cases such as collaborative autonomy, asset routing, and obstacle and threat avoidance.
• Integrate path planning capabilities into the broader command and control software stack and lifecycle, from requirements through testing and optimization.
• Communicate technical progress into clear, actionable insights for stakeholders including colleagues, operators, and end-users.

Required Qualifications

• 8+ years of experience across algorithm design, software development, and mathematical modeling, with programming experience in C/C++, Python, and Matlab.
• Strong knowledge of path planning techniques including A*, D* Lite, RRT, RRT*, and PRM, as well as lattice or grid-based planners.
• Demonstrated experience in GNC, trajectory optimization, and/or development of predictive models for vehicle dynamics and weapon system effectiveness (for example, 6-DoF simulation and intercept analysis).
• Solid applied mathematics foundation, including linear algebra, optimization, computational geometry, and graph theory.
• Knowledge of vehicle dynamics, kinematic constraints, and control theory applied to autonomous ground, air, or maritime platforms tasked through C2 systems.
• Familiarity with map representations, terrain reasoning, and efficient use of large-scale geospatial and environmental data within distributed C2 architectures.
• Background in machine learning as it relates to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction.
• Ability to engineer robust planning systems under uncertainty and support multi-agent coordination in complex, dynamic, contested environments.
• Proven ability to work from prototyping through optimization of production systems.
• Eligibility to obtain and maintain an active U.S. Top Secret security clearance.

Technical Skills

• C/C++, Python, Matlab
• A*, D* Lite
• RRT, RRT*, PRM
• 6-DoF simulation
• U.S. Top Secret security clearance

Location and Compensation

• Location: Waltham, MA (onsite)
• Salary: USD 191,000 - 254,000 per year

Benefits

• Comprehensive, competitive benefits package (available at little to no cost to employees) for health, recovery, and whatever comes next

About the Team

Anduril’s Battelspace Awareness Command and Control Software team focuses on solving complex, real-world problems through advanced algorithms and intelligent software integrations. The team emphasizes real-world impact beyond academic research and proof-of-concept experiments, targeting breakthrough outcomes in path planning, route optimization, and autonomous mission execution at the command and control layer.

Application Notes: Transcripts

Transcripts are requested as part of the early application process to understand academic background and coursework context. Unofficial transcripts obtained online are acceptable. If transcripts are not shared, detailed information regarding relevant academic performance, including projects and coursework specifics, is required. If you provide transcripts, non-technical information (such as student ID, dates, and non-technical coursework) may be redacted.

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