Senior RF Systems Integration Engineer
Pubblicato il 19-10-2026 - Keysight Technologies in Torino
Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 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. About the Job: This is an exciting opportunity to join the New Product Introduction Engineering Team (NPI). As a member of our NPI team, you will collaborate with manufacturing, R&D;, marketing, and engineering teams worldwide to contribute to innovative projects in a high-tech environment.
Your focus will be on the integration and interconnection of complex 4G/5G and future 6G devices used for wireless network validation. You will apply your programming and measurement knowledge to a variety of hands‑on projects. Your focus will be on the integration, validation, and manufacturing readiness of complex 4G/5G and future 6G devices used for wireless network test and validation. You will apply your programming, measurement, and data analysis skills, complemented by AI‑based automation and intelligent agents, to a wide range of hands‑on engineering challenges. The NPI team is multidisciplinary, involving electrical, software, and mechanical engineers, and is responsible for introducing new products into manufacturing and supporting production worldwide throughout the product lifecycle. We are seeking an engineer who thrives in a fast‑paced development environment, with the ability to work across digital, analog, and RF domains, and leverage AI agents to improve test efficiency