Software Engineer Intern - R&D - FPGA

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.

Responsibilities

We are seeking a highly motivated R&D Intern (FPGA) to join our innovative team developing cutting-edge AI Infrastructure Testing solutions. This role is strongly focused on FPGA development, with most responsibilities centered on the design, implementation, and verification of next-generation FPGA-based architectures.

In this role, you will work closely with experienced engineers across hardware, software, and system domains, with a primary emphasis on developing and validating advanced FPGA development methodologies for leading-edge applications. You will be involved in all phases of the product development lifecycle from architecture definition and RTL design to verification, hardware bring-up, and product release.

If you are passionate about FPGA based designs, eager to grow into a highly skilled FPGA expert, and excited to work on state-of-the-art technologies in a collaborative and fast-paced environment, we invite you to join our team. You will collaborate with global R&D teams in India, Romania and the US and contribute to world-class solutions at the forefront of technology innovation.

Key Responsibilities

• Contribute to the design and development of FPGA-based solutions for AI Infrastructure Testing systems

• Implement and verify digital designs using modern FPGA technologies (e.g., high-speed interfaces, memory subsystems)