Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM At Anduril, our Battlespace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur C. Clarke's vision — “Any sufficiently advanced technology is indistinguishable from magic” — we aim to achieve groundbreaking results in path planning, route optimization, and autonomous mission execution at the command and control layer. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology. WHAT YOU WILL DO Contribute hands-on to a small, collaborative team within the Command and Control Software organization, applying your growing expertise in path planning and route optimization. Prototype and help deploy state-of-the-art algorithms for global and local path planning, trajectory optimization, and multi-agent coordination within command and control systems. Help develop online (real-time) path planning capabilities that replan safely and efficiently as mission conditions, threats, and vehicle states change. Design and develop high-performance software for real-time C2 systems deployed on operational platforms in the field — from operator-facing mission planning tools to autonomous tasking and routing services that orchestrate fleets of unmanned systems — with a strong emphasis on asynchronous programming, concurrency, and reliable execution in resource-constrained environments. 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, modeling tools, and statistical techniques to validate planner behavior across diverse mission scenarios. Support customer success by developing and implementing 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 3+ years of experience in algorithm design, software development, and mathematical modeling with programming expertise in C/C++ and/or Rust. Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling-based planners (RRT, RRT*, PRM), and online/real-time replanning approaches. Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization and trajectory prediction; 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, including high-speed aerial vehicles. Familiarity with map representations, terrain reasoning, state estimation, and the efficient handling of large-scale geospatial and environmental data within distributed C2 architectures. Exposure to machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction. Ability to write robust, concurrent code for planning under uncertainty 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. Secret security clearance. NICE TO HAVE Experience with Rust for high-performance, safety-critical software. Exposure to mixed greenfield/brownfield codebases, including extending an existing planning/routing stack in production. 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 $129,000 — $171,000 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 . Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. 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. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com . Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com . Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit anduril.com . By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Requirements

Must-haves

Contribute hands-on to a small, collaborative team within the Command and Control Software organization, applying your growing expertise in path planning and route optimization.
Prototype and help deploy state-of-the-art algorithms for global and local path planning, trajectory optimization, and multi-agent coordination within command and control systems.
Help develop online (real-time) path planning capabilities that replan safely and efficiently as mission conditions, threats, and vehicle states change.
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, modeling tools, and statistical techniques to validate planner behavior across diverse mission scenarios.
Support customer success by developing and implementing 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.
3+ years of experience in algorithm design, software development, and mathematical modeling with programming expertise in C/C++ and/or Rust.
Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling-based planners (RRT, RRT*, PRM), and online/real-time replanning approaches.
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, including high-speed aerial vehicles.
Familiarity with map representations, terrain reasoning, state estimation, and the efficient handling of large-scale geospatial and environmental data within distributed C2 architectures.
Exposure to machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction.
Ability to write robust, concurrent code for planning under uncertainty 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. Secret security clearance.
Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

Nice-to-haves

Experience with Rust for high-performance, safety-critical software.
Exposure to mixed greenfield/brownfield codebases, including extending an existing planning/routing stack in production.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airustmachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision