Senior Software Engineer, Rust
Anduril IndustriesBroomfield, Colorado, United States; Fort Collins, Colorado, United StatesPosted 19 March 2026
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 Software Engineers specialize 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 target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.
WHAT YOU WILL DO:
Define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation.
Architect, maintain, and evolve complex software systems, refactoring existing codebases to improve performance, maintainability, and scalability.
Prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments.
Develop high-performance Rust software for real-time systems, ranging from tactical implementations to simulation environments and decision support tools.
Design and implement robust filters, estimators, and probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data.
Apply software design patterns and architectural best practices to manage technical debt and guide the evolution of production systems over time.
Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate the benefits of our technology.
Drive customer success by customizing algorithms and software for mission-critical use cases, including real-time tracking and sensor fusion.
Integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization.
Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues and end-users.
REQUIRED QUALIFICATIONS
8 + years of professional software engineering experience a Bachelor's degree in mathematics, physics, engineering, or other technical field (advanced degree strongly preferred)
Demonstrated experience managing and evolving software architecture in production environments, including refactoring legacy systems and managing technical debt.
At least 2+ years working on a single codebase or product, maintaining and expanding it as requirements evolved.
Strong understanding of software design patterns , architectural principles, and best practices for building maintainable, scalable systems (beyond basic syntax proficiency).
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.
Knowl ... (truncated, view full listing at source)
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