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Salary: USD 191,000 - 253,000 / annual
Anduril Industries is a defense technology company transforming U.S. and allied military capabilities through advanced technology. The company develops Lattice OS, an AI-powered operating system that converts thousands of data streams into real-time 3D command and control centers. You will join a small, innovative software engineering team focused on solving complex, real-world problems in target tracking, state estimation, and situational awareness.
In this role, you will define and influence the direction of a small team, leveraging deep subject-matter expertise in target tracking and state estimation. You will prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments. Your work will span high-performance software for real-time systems, from tactical implementations to simulation environments and decision support tools.
Key responsibilities include designing and implementing robust filters, estimators, and probabilistic reasoning systems that extract actionable insights from noisy, ambiguous, or incomplete sensor data. You will analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate technology benefits. You will drive customer success by customizing algorithms and software for mission-critical use cases, including real-time tracking and sensor fusion. Additionally, you will integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization, and translate technical progress into clear, actionable insights for diverse stakeholders.
REQUIREMENTS:
- Proficiency in algorithm design, software development, and statistical modeling with programming expertise in C/C++, Python, and Matlab
- Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters)
- Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques
- Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes
- Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR)
- Familiarity with big data pipelines, NoSQL databases, and efficient handling of large-scale sensor data
- Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques
- 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. Top Secret security clearance
- Academic transcripts required as part of early application process to assess technical and analytical abilities; unofficial transcripts acceptable, with option to redact non-technical information
