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Salary: USD 190,000 - 252,000 / annual
Anduril Industries is a defense technology company transforming U.S. and allied military capabilities through advanced technology. The company's Lattice OS is an AI-powered operating system that converts thousands of data streams into real-time, 3D command and control centers. Anduril brings cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to military applications.
You will join a small, innovative software engineering team solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. This role focuses on target tracking, state estimation, and situational awareness with mission-critical applications.
Key responsibilities:
- Define and influence the direction of a small team, leveraging subject-matter expertise in target tracking and state estimation
- 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 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
- Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate technology benefits
- 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
REQUIREMENTS:
- 8+ years of experience 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
