Senior GNC Software Engineer

Anduril’s Battelspace Awareness Command and Control Software team is hiring a Senior GNC Software Engineer to advance path planning, trajectory optimization, and real-time C2 capabilities for autonomous mission execution in contested environments.

Responsibilities

• Set technical direction for a small team within the Command and Control Software organization using deep subject-matter expertise in path planning and route optimization
• Prototype and deploy advanced 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, from operator-facing mission planning tools to autonomous tasking and routing services that coordinate fleets of unmanned platforms
• Design and implement planners, search algorithms, and decision-making systems that produce safe, feasible, and optimal routes in dynamic, uncertain, and contested environments
• Evaluate system performance with high-fidelity simulations, modeling tools, and rigorous statistical methods across diverse mission scenarios
• Support customer success by tailoring algorithms and software for mission-critical needs, including collaborative autonomy, asset routing, and obstacle and threat avoidance
• Integrate path planning capabilities into the broader command and control software stack and development lifecycle, from requirements through testing and optimization
• Communicate technical progress into clear, actionable insights for stakeholders including colleagues, operators, and end-users

Requirements

• 8+ years of experience in algorithm design, software development, and mathematical modeling with programming experience in C/C++, Python, and Matlab
• Strong knowledge of path planning techniques, including graph-based search (A*, D* Lite), sampling-based planners (RRT, RRT*, PRM), and lattice or grid-based planners
• Demonstrated experience in GNC, trajectory optimization, and/or development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6-DoF simulation, intercept analysis)
• Solid applied mathematics foundation, including linear algebra, optimization, computational geometry, and graph theory
• Understanding 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 and terrain reasoning, plus efficient handling of large-scale geospatial and environmental data within distributed C2 architectures
• Background in machine learning for planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction
• Ability to build robust systems for planning under uncertainty and multi-agent coordination in complex, dynamic, contested settings
• Experience working across the full development lifecycle, from prototyping to optimizing production systems
• Eligibility to obtain and maintain an active U.S. Top Secret security clearance

Technologies

• 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 and recovery

About the Team

• Battelspace Awareness Command and Control Software team focuses on complex, real-world problem solving through advanced algorithms and intelligent software integration
• Measures success by real-world impact of deployed solutions rather than proof-of-concept work alone
• Works toward groundbreaking results in path planning, route optimization, and autonomous mission execution at the command and control layer

Application Notes

• Transcripts are requested as part of the early application process to understand academic background and relevant coursework
• Unofficial transcripts obtained online are acceptable
• Non-technical information may be redacted if you provide academic transcripts (for example: student ID, dates, and non-technical coursework)
• If you do not share transcripts, provide detailed information about academic performance in relevant courses, including projects and coursework specifics

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