AI R&D Engineer; SDLC Acceleration

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.

• Design, build, and integrate AI-powered applications and services that accelerate software delivery and developer experience.
• Turn problem statements into production-grade solutions (LLM-assisted features, RAG/agent workflows, AI-augmented test automation) - ensure secure, compliant use of AI across the SDLC.
• Enable Agentic workflows:
  Use commercial AI tooling for inducting Agentic AI into Keysight’s Software Engineering and R&D functions.

• Partner with IT to drive delivery of new feature to internal function to accelerate SDLC phases.
• Combine classical ML, retrieval/agent patterns and leverage LLM capabilities to deliver robust APIs, microservices, and frontends.
• Create “golden-path” reference components for common scenarios (code assistance, documentation summarization, knowledge search, test plan generation).
• Demonstrate and produce agentic workflows for security scanning, remediation, and pipeline automation.

• Integrate solutions for central tools (Jira, Bitbucket, Confluence, Docker, Kubernetes, Jenkins, VMware, Cloud Bears CI/CD etc.).
• Collaborate with Secure Software Factory (SSF) and Product Security Applications teams to fold AI features into standard SDLC workflows.

• Help set up telemetry endpoints and build dashboards/reports that gather adoption and utilization data and capture real-time value benefits of AI tools.

• Design test strategies for AI features (unit, integration, adversarial, model-in-the-loop); apply Human and AI-assisted testing and demonstrate self-healing approaches where suitable.

• Translate corporate AI governance into developer-friendly approaches: data handling, prompt safety, model access tiers, applying vendor usage rules.

• Partner with guilds/forums (NPC, enablement sessions) to share best practices, reusable assets, and developer training content.
• Coordinate on releases with IT to ensure new features are tested and enabled for Keysight’s Software Engineering community.

• Bachelor’s or master's in computer science, electrical/electronic engineering, or related field; advanced ML/AI coursework or certifications preferred.

• Experience:
  
  4-8 years in Computer / Software engineering (backend/frontend) with hands-on AI/ML application development or integration; internships/projects count toward demonstrable capability.
• Programming:
  Proficiency in Python and C#/JavaScript/Type Script; strong API design (REST/GraphQL), microservices.
• AI/ML:
  Practical experience with LLM tooling (prompting, evaluation, safety), RAG (embeddings/vector stores), and at least one framework (PyTorch, Tensor Flow).
• Cloud & Dev Ops:
  Experience on Azure (preferred) or AWS CI/CD, containers (Docker/K8s), observability (logs/metrics/traces).
• Toolchain:
  Bitbucket, Git Hub, Jira/Confluence, Artifactory, Microsoft 365; familiarity with Git Hub Copilot and M365 Copilot for developer productivity.
• Security & Compliance:
  Ability to implement secure least-privilege, data minimization, and secure prompt/data flows.
• Soft skills:
  
  Clear communication, collaboration across global teams, and a builder’s mindset with ownership of outcomes.

• Exposure to NIST SSDF practices ((Use the "Apply for this Job" box below).) and integrating AI features into standard Keysight SDLC.
• Front…