Senior Full Stack Software Engineer – AI/ML R&D

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.

About Keysight AI Labs

Keysight’s AI Labs is a global R&D group pioneering the integration of machine learning, 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 Senior Software Engineers who can design, build, and scale full-stack systems supporting advanced ML workflows.
You’ll play a key role in developing and maintaining robust backend architectures, responsive frontends, and secure cloud services, ensuring performance, reliability, and compliance in production environments. Collaboration is key, you’ll work with experts in data science, DevOps, cloud engineering, and UX/UI design, all focused on turning complex R&D ideas into real, deployable software solutions.

Responsibilities:

This is a hands-on engineering role where you’ll influence architecture, mentor peers, and contribute to the evolution of Keysight’s AI ecosystem.

Design and implement responsive user interfaces using modern frameworks (React, Angular, or Vue).

Collaborate with UX/UI designers to ensure intuitive, accessible user experiences.

Develop and optimize server-side logic using Python, Java, Node.js, or .NET.

Architect scalable backend systems and services, including RESTful APIs and microservices.

Manage databases (SQL/NoSQL) and ensure data integrity and scalability.

Implement authentication, authorization, and general security best practices.

Build and maintain CI/CD pipelines and Infrastructure-as-Code (Terraform, Docker).

Deploy, monitor, and debug applications in cloud environments (AWS, Azure, or GCP).

Collaborate across disciplines, from ML engineers to DevOps to integrate AI/ML workflows.

Participate in code reviews, sprint planning, and technical documentation to maintain quality and consistency.

Qualifications:

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Strong proficiency in at least one backend language (Python, Java, Node.js, or C#).

Solid experience with frontend frameworks (React, Angular, or Vue).

Experience designing scalable, distributed systems and APIs.

Familiarity with cloud services (AWS, Azure, GCP).

Experience with CI/CD, Docker, and version control (Git).

Knowledge of databases (SQL/NoSQL) and data modeling principles.

Strong understanding of security, observability, and reliability in production.

Proven ability to mentor or lead within a cross-functional engineering team.

Desired Qualifications

Experience in AI/ML platform integration or data engineering (pipelines, model serving, etc.).

Familiarity with Infrastructure-as-Code tools (Terraform, Pulumi).

Experience with Agile methodologies and modern collaboration tools.

Exposure to MLOps, ML inference APIs, or data visualization tools.

Demonstrated ability to influence technical direction across teams.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***