Software Engineer, Rust

About the role

The role is a senior software engineer focused on target tracking and state estimation, leading a small team to architect, maintain and evolve high‑performance Rust software for real‑time and simulation systems, prototype advanced algorithms, and integrate them across the development lifecycle to deliver mission‑critical defense solutions.

About the company

Anduril Industries is a defense technology company dedicated to transforming U.S. and allied military capabilities using AI‑powered autonomy, computer vision, sensor fusion and networking, built around its Lattice OS operating system.

Requirements

• 5+ years professional software engineering experience and a Bachelor’s degree in mathematics, physics, engineering or related technical field (advanced degree strongly preferred)
• Experience managing and evolving software architecture in production, including refactoring legacy systems and handling technical debt
• At least 2+ years working on a single codebase or product, maintaining and expanding it as requirements evolve
• Strong understanding of software design patterns, architectural principles and best practices for building maintainable, scalable systems
• Proficiency in algorithm design, software development and statistical modeling; experience with Rust, C/C++, Python and Matlab is a plus
• Solid understanding of applied mathematics including linear algebra, optimization, probability and stochastic processes
• Knowledge of signal processing techniques for interpreting sensor data such as radar, lidar, EO/IR
• Familiarity with big data pipelines, NoSQL databases and efficient handling of large‑scale sensor data
• Ability to engineer robust systems for estimation theory, adaptive filtering, controls and complex signal 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
• Experience refactoring and modernizing Rust codebases in production environments
• Track record of architectural decision‑making and technical leadership on long‑lived projects
• Contributions to open‑source Rust projects or the broader Rust ecosystem
• Experience with concurrent and parallel programming patterns in Rust
• Experience in state estimation including Bayesian filtering, sensor fusion and recursive estimation techniques
• Background in machine learning applied to target tracking and recognition, including clustering, classification and anomaly detection
• Knowledge of target tracking techniques such as Kalman filters, particle filters and multi‑target tracking algorithms (e.g., JPDA, MHT, PHD filters)