Industrial Engineer, Production Controls & Simulation
Anduril · Costa Mesa, CA · Manufacturing : Heavy Metal - Production : Manufacturing Engineering
About this role
Anduril is hiring a mid-level Site Reliability Engineer in the software engineering function based in Costa Mesa, CA. The posting calls out experience with Python, Computer Vision, Data Visualization, Automation. Compensation is listed at $86,000–$114,000 per year.
- Role
- Site Reliability Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Costa Mesa, CA
- Department
- Manufacturing : Heavy Metal - Production : Manufacturing Engineering
More roles at Anduril
Job description
from Anduril careersAnduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril's Manufacturing Technology, Maritime Team is building the next generation of advanced AI-driven factories to manufacture large-scale autonomous maritime systems at unprecedented speed and scale. The Maritime Manufacturing Technology Team is responsible for rapidly developing and implementing manufacturing technologies and processes for cutting-edge defense hardware, including deployable static and moving surface, undersea and sea to air vehicles, and scaling these products in our new manufacturing facilities. Our industrialization approach combines advanced manufacturing methods, digital integration, and adaptive planning to compress development timelines while de-risking production decisions.