Product Security Engineer 3 — Agentic AI & Development

Overview:

Keysight is at 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:

About the Role

We are seeking a skilled and experienced Product Security Engineer to design, develop, and integrate AI/ML‑enabled capabilities into Keysight’s security solutions as part of the Software Development Life Cycle (SDLC). This role is hands‑on and development‑focused, emphasizing software engineering excellence and applied AI/ML.

You will contribute to building intelligent features and automation that improve product security, quality, efficiency in developer workflows. Familiarity with secure software practices is considered a plus. The primary focus is on software development, AI/ML integration, and learning at scale.

About the Team:

You will collaborate with product owners, security researchers, and full stack engineers to build advanced autonomous security capabilities that enhance Keysight’s Software Development Life Cycle (SDLC).

Key Responsibilities:

Software Development

Design, implement, test, and maintain backend services and tools using Python and related ecosystems.

Build well‑structured, maintainable, and testable code following modern software engineering practices.

Collaborate in design reviews, code reviews, and agile ceremonies to deliver high‑quality features.

Applied AI/ML

Develop and integrate AI/ML models or services into production software systems.

Work with structured and unstructured data to support training, validation, and inference pipelines.

Integrate ML capabilities with APIs, services, and user interfaces.

Automation & SDLC Integration

Contribute to automation that integrates with CI/CD pipelines and development workflows.

Assist in building data ingestion, processing, and evaluation pipelines to support intelligent features.

Collaboration

Work closely with software engineers, data practitioners, product owners, and quality engineers.

Communicate technical designs and implementation details clearly across teams.

Qualifications:

Must Haves:

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, AI/ML, or a related field.

3–5 years of hands‑on software development experience, with a preference for work involving AI/ML or data‑driven systems.

Strong proficiency in Python with experience building and maintaining production‑grade software.

Solid understanding of data structures, algorithms, and object‑oriented design.

1–3+ years of practical AI/ML exposure, such as:

Developing, training, deploying, or integrating machine learning or agentic AI models

Embedding AI/ML capabilities into production software systems

Experience with Git, modern CI/CD pipelines, and standard development workflows.

Familiarity with LLMs or AI‑assisted workflows is a plus.

General awareness of secure software development practices is helpful but not required.

Ability to work independently, contribute to technical decisions, and collaborate effectively across teams.

Clear communication skills and proven ability to work in cross‑functional environments.

We Value:

Master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.

Strong interest in software craftsmanship and applied AI/ML.

Curiosity and willingness to learn new tools, frameworks, and technologies.

Practical problem‑solving skills and attention to detail.

Ability to work cross‑functionally and contribute positively to team outcomes.