AI Chief Engineering Lead
Anduril · Boston, MA | Costa Mesa, CA | Seattle, WA | Washington, DC · Air Dominance & Strike : Mission Autonomy Engineering : Mission Software Engineering
About this role
Anduril is hiring a senior-level Software Engineer based in Boston, MA | Costa Mesa, CA | Seattle, WA | Washington, DC. The posting calls out experience with Python, C, LLMs, Computer Vision. Compensation is listed at $254,000–$336,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- senior
- Track
- Management
- Employment
- Full-time
- Location
- Boston, MA | Costa Mesa, CA | Seattle, WA | Washington, DC
- Department
- Air Dominance & Strike : Mission Autonomy Engineering : Mission Software 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.
We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.