Rust Software Engineer - Real-Time Tracking & Sensor Fusion

Anduril Industries, Inc.; Waltham (MA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Anduril Industries, Inc. is seeking a software leader to guide a small team focusing on target tracking and state estimation for real-time defense systems. You will architect and evolve complex software, prototyping advanced algorithms in agile, iterative cycles.

You will develop high-performance Rust code for real-time applications, build robust filters and probabilistic reasoning, and apply architectural best practices to manage technical debt as production systems evolve.

Responsibilities

• 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

Job description

Anduril Industries, Inc. is seeking a software leader to guide a small team focusing on target tracking and state estimation for real-time defense systems. You will architect and evolve complex software, prototyping advanced algorithms in agile, iterative cycles.

You will develop high-performance Rust code for real-time applications, build robust filters and probabilistic reasoning, and apply architectural best practices to manage technical debt as production systems evolve.