Ai Engineer

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.

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 Keysight AI Labs

Keysight’s AILabs is a global R&D group pioneering the integration of machine learning and generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems— from 6G and semiconductors to quantum and automotive—by embedding AI throughout our workflows.

About the AI Team

Join Keysight’s central AI Hub in the heart of Barcelona. We are expanding our newly formed AI team. As part of this growing team, you will join a vibrant, cross‑functional environment that brings together experts in ML engineering, data science, physics‑informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI.

About the Role

We are looking for a Machine Learning Engineer (senior level preferred) to develop and productize advanced LLM‑based, agentic, and generative AI pipelines. You’ll design scalable architectures that integrate AI into Keysight’s software and hardware platforms, enabling intelligent workflows, root‑cause analysis, automated scripting, anomaly detection, and adaptive decision‑making. This role blends research, engineering, and applied productization, ideal for those who enjoy turning cutting‑edge ML concepts into deployable real‑world solutions.

Responsibilities

• Collaborate with Keysight domain experts (RF, 6G‑wireless, EM, circuit, and measurement) to gather requirements, physical constraints, and workflow insights for ML pipeline design.
• Design and implement SOTA ML architectures including LLMs, agentic systems, GANs, diffusion models, and RAG pipelines for data augmentation, anomaly detection, modeling, and automation.
• Develop scalable ML pipelines for on‑device, on‑prem, cloud, and hybrid GPU environments, ensuring efficiency, reliability, and scalability.
• Write production‑grade Python, C++, and CUDA code following best practices (testing, CI / CD, documentation, performance profiling).
• Collaborate with product teams to integrate ML‑driven features into Keysight’s commercial products.
• Continuously explore and apply new research in LLMs, agentic reasoning, multimodal AI, and generative architectures to enhance Keysight’s capabilities.

Qualifications Required Qualifications

comfortable working in cross‑functional R&D environments.

Desired Qualifications

Keysight is an Equal Opportunity Employer.

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