R&D Engineer 2, Software

Overview Keysight is on 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 Capability to work on a few projects of strategic importance (listed below) in FY25 & FY26, in the Thermal Squad, if converted to an FTE: - Build Python interface to enable AI agents to drive thermal simulation using HeatWave thermal solver for projects related to AIDRFIC and 3DIC (eg Automating Electrothermal (ETH) simulations using Floor plan in Python, Integrating PyBinding with Heatwave for improved Python-C++ interoperability etc) - Support AI driven optimization flows that rely on accurate automatically computed temperatures after design modifications - Transform current regression infrastructure from ael to Python - Usability enhancements in SmartMount, Nested/Multi tech flows Qualifications B Tech/ M tech in CSE/ECE/EEE from a Tier I Engineering college with excellent coding skills in C++, Python, C, QT on Linux & Windows AI/ ML Programming Automation design experience DevSecOps Careers Privacy StatementKeysight is an Equal Opportunity Employer Capability to work on a few projects of strategic importance (listed below) in FY25 & FY26, in the Thermal Squad, if converted to an FTE: - Build Python interface to enable AI agents to drive thermal simulation using HeatWave thermal solver for projects related to AIDRFIC and 3DIC (eg Automating Electrothermal (ETH) simulations using Floor plan in Python, Integrating PyBinding with Heatwave for improved Python-C++ interoperability etc) - Support AI driven optimization flows that rely on accurate automatically computed temperatures after design modifications - Transform current regression infrastructure from ael to Python - Usability enhancements in SmartMount, Nested/Multi tech flows