Software Engineer, Manufacturing Test
Anduril · Costa Mesa, CA · Manufacturing : Manufacturing Engineering : Production Test
About this role
Anduril is hiring a mid-level QA Engineer in the software engineering function based in Costa Mesa, CA. The posting calls out experience with Python, SQL, REST APIs, AWS. Compensation is listed at $166,000–$220,000 per year.
- Role
- QA Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Costa Mesa, CA
- Department
- Manufacturing : Manufacturing Engineering : Production Test
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 JOB
As a Software Engineer in the Manufacturing Test organization, you will join a software development team tasked to ensure that we build quality products - in land, sea, and air. You will work with test executive software that can systematically and thoroughly test our products and create analytics to improve our development cycle. You will champion automation, and work to reduce operator time and instruction complexity through the use of parallel execution, data acquisition, automated deployment tools. You will be presented complex, multiplatform problems with heavy reliance on cloud data systems. In this role you’ll need to think creatively and continuously improve our methods of automation, throughput, user interfaces, and data analytics.