AI R&D Engineer (SDLC Acceleration)

Keysight Technologies SAles Spain SL.

Santa Rosa (CA)

On-site

USD 129,000 - 216,000

Full time

7 days ago
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Benefits offered by this job

Medical, dental and vision
401(k) Plan
Flexible Time Off
Tuition Reimbursement
ESPP
Adoption Assistance
Discounts

Job summary

Keysight Technologies SAles Spain SL. is seeking an AI R&D Engineer to accelerate the software delivery lifecycle using AI-powered applications and agentic workflows. You will collaborate across SDLC, RAG pipelines, and central tools to deliver robust AI features for internal teams.

The role emphasizes secure AI governance, scalable microservices, and telemetry-driven value reporting, with opportunities to work across global engineering teams.

Qualifications

  • 4-8 years in software engineering (backend/frontend) with hands-on AI/ML development or integration.
  • Proficient in Python and C#/JavaScript/TypeScript with strong API design (REST/GraphQL).
  • Experience with LLM tooling, prompting, evaluation, safety, and with PyTorch or TensorFlow.

Responsibilities

  • Design, build, and integrate AI-powered apps and services for accelerated SDLC.
  • Deliver production-grade APIs, microservices, and frontends using ML and retrieval/agent patterns.
  • Create reusable components for code assistance, docs summarization, knowledge search, and test generation.
  • Demonstrate agentic workflows for security scanning, remediation, and pipeline automation.
  • Integrate AI features into central tools (Jira, Bitbucket, Confluence, Docker, Kubernetes, Jenkins, VMware).
  • Build telemetry dashboards to measure adoption and value of AI tools.

Skills

Python
C#/JavaScript/TypeScript
APIs (REST/GraphQL)
Microservices
LLM tooling
RAG/Embeddings
Azure/AWS
Docker/Kubernetes
CI/CD
Observability
Jira/Confluence
Bitbucket
GitHub
Artifactory
Microsoft 365
Copilot / M365 Copilot

Education

Bachelor’s or Master’s in CS/EE or related, ML/AI coursework

Tools

Bitbucket
GitHub
Jira/Confluence
Artifactory
Microsoft 365

Job description

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.

AI R&D Engineer for SDLC Acceleration
  • 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.
Responsibilities
AI Application Development
  • 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.
Platform & Integration
  • Integrate solutions for central tools (Jira, Bitbucket, Confluence, Docker, Kubernetes, Jenkins, VMware, CloudBears CI/CD etc.).
  • Collaborate with Secure Software Factory (SSF) and Product Security Applications teams to fold AI features into standard SDLC workflows.
Engineering Intelligence & Telemetry (SEI)
  • Help set up telemetry endpoints and build dashboards/reports that gather adoption and utilization data and capture real-time value benefits of AI tools.
Quality, Test & Reliability
  • 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.
Security, Privacy & Compliance
  • Translate corporate AI governance into developer-friendly approaches: data handling, prompt safety, model access tiers, applying vendor usage rules.
Collaboration & Enablement
  • 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.
Qualifications
Education
  • Bachelor’s or master's in computer science, electrical/electronic engineering, or related field; advanced ML/AI coursework or certifications preferred.
Must Have
  • 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/TypeScript; 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, TensorFlow).
  • Cloud & DevOps: Experience on Azure (preferred) or AWS CI/CD, containers (Docker/K8s), observability (logs/metrics/traces).
  • Toolchain: Bitbucket, GitHub, Jira/Confluence, Artifactory, Microsoft 365; familiarity with GitHub 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.
Preferred
  • Exposure to NIST SSDF practices (https://csrc.nist.gov/projects/ssdf#ssdf-practices) and integrating AI features into standard Keysight SDLC.
  • Frontend skills (Angular/React) to deliver end-to-end AI-augmented workflows.
  • Experience contributing to enablement of guilds or creating internal playbooks/tutorials.

Careers Privacy Statement

Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range.

California pay range: MIN $129,450 - MAX $215,740

Colorado pay range: MIN $119,850 - MAX $199,750

Note: For other locations, pay ranges will vary by region

This role is eligible for Keysight Results Bonus Program and US Employees may be eligible for the following benefits:

  • Medical, dental and vision
  • Health Savings Account
  • Health Care and Dependent Care Flexible Spending Accounts
  • Life, Accident, Disability insurance
  • Business Travel Accident and Business Travel Health
  • 401(k) Plan
  • Flexible Time Off, Paid Holidays
  • Paid Family Leave
  • Discounts, Perks
  • Tuition Reimbursement
  • Adoption Assistance
  • ESPP (Employee Stock Purchase Plan)
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