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

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

Join

Keysight's central AI team in Barcelona

, a newly formed hub driving innovation in machine learning. As part of this growing team, you’ll have the chance to shape our AI strategy and make an immediate impact. Our work spans supervised and unsupervised learning, generative models, multimodal systems, reinforcement learning, and large language models.

About the AI Team

We are expanding the Team and You’ll join Keysight’s

AI R&D team

in the heart of Barcelona. A multidisciplinary group of R&D engineers, ML scientists, and Data specialists pioneering AI-driven solutions that empower innovation across wireless, semiconductors, automotive, and aerospace domains.

The team’s mission is to

build scalable AI systems and ML-enabled applications

that bridge simulation, measurement, and intelligent automation, driving Keysight’s digital transformation. 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.

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.

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

Responsibilities

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.

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.