R&D Developer - C# WPF Test Automation
Keysight Technologies · Santa Rosa, CA · R&D
About this role
Keysight Technologies is hiring a mid-level QA Engineer in the software engineering function based in Santa Rosa, CA. The posting calls out experience with C, C#, REST APIs, Git.
- Role
- QA Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Santa Rosa, CA
- Department
- R&D
- Posted
- Apr 15, 2026
More roles at Keysight Technologies
Job description
from Keysight Technologies careersKeysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
Responsibilities
- Develop Windows desktop applications for automation of RF test and measurement, data acquisition, and analysis using C#, WPF, and .NET.
- Interface software to test and measurement hardware including network analyzers, spectrum analyzers, communication testers, and positioning equipment.
- Develop flexible automation routines and dynamic data handling for a wide variety of user configurable test and measurement scenarios.
- Design, implement, test, and maintain software components for all aspects of the product portfolio.
- Develop and enhance graphical user interfaces (GUI) for illustrating complex measurement scenarios and displaying multi-dimensional data in a variety of formats.
- Post process data to extract various pertinent metrics and evaluate results as a function of different independent variables.