Anduril Industries

GNC Software Engineer

Anduril Industries$146K — $194K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Expertise in algorithm design, software development, and mathematical modeling with C/C++, Python, and Matlab.
  • In-depth knowledge of path planning techniques (e.g., A*, RRT, PRM).
  • Experience in guidance, navigation, and control (GNC) and trajectory optimization.
  • Strong background in applied mathematics, including linear algebra and optimization.
  • Familiarity with vehicle dynamics and control theory for autonomous systems.
  • Understanding of terrain reasoning and handling large-scale geospatial data within C2 systems.
  • Knowledge of machine learning applications in planning and decision-making.
  • Proven ability to develop systems for multi-agent coordination in dynamic environments.

Responsibilities

  • Lead and influence a team within Command and Control Software focusing on path planning expertise.
  • Prototype and implement advanced algorithms for path planning and optimization.
  • Create efficient software for real-time mission planning tools and autonomously routing services.
  • Design robust planners and search algorithms for dynamic and uncertain environments.
  • Analyze system performance using simulations and modeling tools to validate planner behavior.
  • Customize algorithms for mission-critical applications such as autonomous asset routing.
  • Integrate new technologies into the broader software stack, from requirement gathering to testing.
  • Communicate technical insights clearly to a diverse range of stakeholders.

Benefits

  • Comprehensive health insurance plans with minimal employee cost.
  • Robust recovery and wellness resources to support employee health.
  • Flexible benefits package that caters to diverse employee needs and circumstances.
  • Opportunities for competitive equity grants as part of compensation.
Full Job Description
WHAT YOU WILL DO:

  • 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.

REQUIRED QUALIFICATIONS

  • 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.


We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

US Salary Range

$146,000-$194,000 USD

The salary range for this role 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. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

About Anduril Industries

Anduril Industries is a defense technology company that develops advanced systems for the military. The company was founded in 2017 by Palmer Luckey, Trae Stephens, and Matt Grimm, and has since grown to become a major player in the defense industry. Anduril's products include autonomous drones, surveillance systems, and other advanced technologies that are designed to enhance military capabilities. The company has received significant funding from investors and has partnerships with several major defense contractors. Anduril is headquartered in Mountain View, California.
Learn more about Anduril Industries
Size
200 employees
Industry
Founded
2017

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