andurilindustries
Senior Software Engineer, Manufacturing Test (Roadrunner)
At a Glance
- Location
- Costa Mesa, California, United States
- Experience
- 8+ years
- Department
- Manufacturing
- Posted
- 2026-04-28T16:51:11-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Banking
- Education
- Embedded Systems
- Engineering
- Finance
- Healthcare
- Insurance
- Legal
- Manufacturing
- Medical
- Robotics
Benefits & Perks
toward your private health insurance for you and your dependents. Additional
Requirements
8+ years of relevant industry experience.
Proficient in Python, ASP.NET, RESTful services with C# in AWS/Azure infrastructure.
Hands-on working knowledge of a major relational database (DB2, SQL Server etc.) and/or NoSql.
Experience working in CI/CD and designing and delivering DevOps automation for app deployment and testing.
Proven experience collaborating on multi-disciplinary projects, integrating software with complex Electrical, Mechanical, and Manufacturing systems.
export controlled information or facilities.
Responsibilities
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.
These products often involve complex mechanical, electrical, and embedded systems, requiring a deep understanding of hardware-software interaction.
You will develop test executive software that can systematically and thoroughly test our products, interacting directly with physical test fixtures, sensors, and actuators, 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, and automated deployment tools, always considering the physical constraints and operational needs of the manufacturing line.
You will be presented complex, multi-platform 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, with a keen eye on optimizing the physical testing process and equipment interaction.