Signal Processing Engineer, Space

Anduril Anduril · Defense · Costa Mesa, CA · AFS : Space Engineering

Develops discrimination algorithms for EO/IR sensors to classify threats from decoys and debris for space and missile defense missions. Designs signal processing pipelines, including detection, feature extraction, and image processing, and develops advanced decision logic. Requires expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and algorithm development, with experience transitioning algorithms to production.

What you'd actually do

  1. Develop discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
  2. Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
  3. Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
  4. Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
  5. Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance

Skills

Required

  • Signal processing for EO/IR sensors
  • Classification algorithms
  • Detection theory
  • Algorithm development
  • Modeling and simulation
  • Monte Carlo analysis
  • Hardware-in-the-loop testing
  • Production code transition
  • EO/IR sensor phenomenology
  • Noise characteristics
  • SNR analysis
  • Resolution limits
  • Environmental effects
  • Detection algorithms
  • Filtering
  • Measurement generation
  • Decision logic
  • U.S. Secret security clearance

Nice to have

  • Advanced degree (MS or PhD)
  • Space or missile defense systems
  • Threat discrimination
  • Intercept systems
  • Adaptive algorithms
  • Pattern recognition
  • Computer vision
  • Image processing
  • Countermeasures
  • Spoofing
  • Contested/degraded sensing environments
  • Fire control systems
  • Guidance/navigation/control (GNC) integration
  • Kill vehicle systems
  • Radar systems
  • RF signal processing
  • Multi-modal sensor fusion
  • Systems engineering processes
  • Requirements management
  • Trade studies
  • Verification/validation
  • MBSE tools (Cameo, Rhapsody, DOORS)
  • Systems engineering toolchains

What the JD emphasized

  • 5+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
  • Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments