Anduril Industries
Signal Processing Engineer, Space
About this role
Anduril Industries seeks a Signal Processing Engineer to develop discrimination algorithms for space and missile defense systems that distinguish threats from decoys and debris using EO/IR sensor data. You'll design signal processing pipelines, build physics-based models, and transition algorithms from prototype to production for real-time operational deployment.
What you'll do
- Develop discrimination algorithms for EO/IR sensors to classify threats versus decoys, debris, and clutter in real-time
- Design and implement signal processing pipelines including detection, feature extraction, and image processing
- Build physics-based models and conduct modeling/simulation including Monte Carlo analysis and hardware-in-the-loop testing
- Analyze and optimize algorithms for EO/IR sensor phenomenology and environmental effects
- Develop analysis tools to characterize algorithm performance under countermeasures and degraded conditions
- Collaborate with software engineers to productionize algorithms and engage with customers on mission needs
What they're looking for
- Signal processing algorithm design and implementation
- EO/IR sensor phenomenology and detection theory
- Classification and discrimination algorithms
- Image processing and feature extraction
- Physics-based modeling and Monte Carlo simulation
- Algorithm coding and production transition
- Hardware-in-the-loop testing
- Collaborative cross-functional engineering
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Anduril Industries
Anduril Industries builds autonomous defense systems including underwater vehicles, unmanned aircraft, and electronic warfare platforms for the Department of Defense. The company is hiring across mechanical engineering, mission operations, software development, technical leadership, and advanced manufacturing roles to support the design, deployment, and production of these mission-critical systems.
- Website
- anduril.com
Likely interview questions
- Walk us through a signal processing algorithm you developed for EO/IR sensors. What were the key challenges in detection and feature extraction, and how did you validate performance?
- Describe your experience with threat discrimination systems. How have you approached the problem of distinguishing targets from decoys, clutter, or debris?