Description
At Anduril, our Battelspace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations.
We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.
As a GNC Software Engineer, you will 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.
Key responsibilities include:
- Defining and influencing the direction of a small team within the Command and Control Software organization
- Prototyping and deploying state-of-the-art algorithms for global and local path planning, trajectory optimization, and multi-agent coordination within command and control systems
- Developing 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
- Designing and implementing robust planners, search algorithms, and decision-making systems that generate safe, feasible, and optimal routes in dynamic, uncertain, and contested environments
- Analyzing system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate planner behavior across diverse mission scenarios
- Driving customer success by customizing algorithms and software for mission-critical use cases, including collaborative autonomy, asset routing, and obstacle and threat avoidance
- Integrating path planning technologies into the broader command and control software stack and development lifecycle, from requirements definition through testing and optimization
- Translating technical progress into clear, actionable insights for diverse stakeholders, including colleagues, operators, and end-users
Required qualifications include:
- 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
Salary: $191,000 - $253,000 USD per year
Benefits: Comprehensive, competitive benefits package, including top-tier benefits for full-time employees, such as health insurance, retirement plans, and paid time off.
Please note that the salary range is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.