IT Engineer,,Intermediate

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.

We are looking for a talented Knowledge Engineer (KE) to join our team, focusing mainly on Logik.

AI configuration development in support of Spirent products. In this position, you will develop, maintain, and optimize Logik.

AI configurator logic and rules, making sure they integrate seamlessly with our current systems. Ideal candidates should have solid technical abilities, coding experience, enjoy data analysis, pay close attention to detail, and have a passion for innovation. If you thrive in a dynamic, collaborative, and fast‑paced environment, we would love to hear from you!

Knowledge Engineers (KEs) collaborate cross‑functionally with Marketing, R&D, Order Fulfillment, and Order Management to design scalable product structures and configuration solutions that enable fast, accurate, and precise quoting and ordering of complex products. KEs are responsible for generating accurate product quotes and orders for customers, making the experience quick and efficient. They ensure that product configuration complexity is hidden using logical rules to display only relevant product selections and feature information in compliance with product specifications and Keysight Standards, guiding Keysight customers, sales representatives, and field engineers through product feature selection and configuration.

• Develop, maintain, and enhance Logik.
  
  AI configuration logic and rules.
• Collaborate with cross‑functional teams including Marketing, R&D, NPI Teams, Order Fulfillment, and Order Management to build scalable product structures and configuration solutions.
• Ensure quick, accurate, and efficient quoting and ordering for complex products by generating precise product quotes and orders.
• Hide product configuration complexity for users by implementing logical rules that display only relevant selections and feature information, in compliance with product specifications and standards.
• Guide customers, sales representatives, and field engineers through product feature selection and configuration processes.

• Strong proficiency in JavaScript or Type Script for UI rules and custom functions.
• Experience with JSON or YAML.
• Familiarity with SQL for troubleshooting, reporting, and data analysis;
  Python knowledge is a plus for automation and testing.
• Ability to build product models with attributes, constraints, and dependencies.
• Define configuration and compatibility rules, including option dependencies and mandatory/exclusion selections.
• Implement dynamic configuration logic for guided selling.
• Develop and refine configurator UI, including layout and component adjustments.
• Experience in providing technical support for system end‑users (and user roles) such as customers, sales reps, partners, and internal users.

• Mapping product structures for configuration across systems.
• Ensuring quote, order, and pricing data consistency.
• Leverage ATO, CTO, and PTO component configurations to support downstream supply chain strategies.
• Experience with platforms including Salesforce, Oracle EBS, Oracle CPQ, Logik.
  
  AI or Oracle Cloud is a plus.

• Translate business requirements into logical rules.
• Clean and normalize product data, manage complex product variants.
• Balance configurability with system performance.
• Background in Configure‑Price‑Quote platforms, product catalog management, or rules‑based systems is preferred.