Drimva

Anduril

Systems Engineer - Machine Learning

Colorado Springs, Colorado, United States +2 · Full-time · Posted Oct 23, 2026

Location
Colorado Springs, Colorado, United States
Huntsville, Alabama, United States
Huntsville, Alabama, United States
Experience
5+ years of relevant engineering experience.
Education
Bachelor’s, Master’s, or Ph.D. in Aerospace Engineering, Applied Mathematics, Physics, Electrical Engineering, Machine Learning, Artificial Intelligence, or a related quantitative field.

About the job

Develops and verifies machine-learning and algorithmic systems for missile defense, including sensor fusion, threat assignment, and fire-control workflows.

What you'll do

  • Research, develop, and deploy machine-learning models and algorithms for detection, tracking, threat classification, and weapon-target assignment.
  • Build sensor-fusion pipelines and conduct sensitivity analyses, trade studies, modeling, simulation, and algorithm verification.
  • Translate mathematical models into code and connect low-level sensor and threat inputs to mission-level outputs.

What they ask for

  • Active U.S. Secret security clearance, maintainable.
  • 5+ years of relevant engineering experience.
  • Bachelor’s, Master’s, or Ph.D. in a related quantitative field, including aerospace engineering, applied mathematics, physics, electrical engineering, machine learning, or artificial intelligence.
  • Strong applied mathematics, physics, and programming skills; proficiency in Python and/or C++, plus the listed machine-learning and algorithm-development capabilities.

Nice to have

  • Top Secret / SCI eligible.
  • Military or defense operations experience is a strong plus.

Tools

Python, C++, Pytorch, TensorFlow, GPU's, Windows, Linux, MATLAB

AI focus

Researches, develops, and deploys generative AI, reinforcement learning, deep neural networks, and physics based neural models for missile-defense and related algorithmic applications.

Model-written summary · the original posting is authoritative

First seen Oct 24, 2026 · Last verified Nov 4, 2026 (UTC)