Qualification

Proficiency in algorithm designFamiliarity with big data pipelinesExperience in state estimation

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 and Python
Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.
Familiarity with big data pipelines, NoSQL databases, and the 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 as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters).
Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).

Senior Scientific Software Engineer at Anduril Industries · LumiJobs

Senior Scientific Software Engineer