AI R&D Engineer (SDLC Acceleration)
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 2, 2026.
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.
We have an opportunity forAI 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 worklows: 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 featuresto internal functionsto accelerate SDLC phases.
- Combine classical ML,retrieval/agent patternsand leverage LLM capabilitiesto 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 produceagentic workflows for security scanning, remediation,and pipeline automation.
Platform & Integration
- Integrate solutions for central tools(Jira, Bitbucket, Confluence, Docker, Kubernetes, Jenkins, VMware, CloudBeesCI/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 setup telemetry endpoints and build dashboards/reports that gather adoptionandutilizationdata andcapture real-time value benefits of AItools.
Quality, Test & Reliability
- Design test strategies for AI features (unit, integration, adversarial, model-in-the-loop); apply Human and AI-assisted testing and demonstrateself-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.
- Coordinateon releases with IT to ensure new featuresare tested and enabled for Keysight’s Software Engineering community.
Qualifications
Education
- Bachelor’sor master's in computer science, electrical/electronic engineering, or related field; advanced ML/AI coursework or certifications preferred.
MustHave
- Experience: 4-8 years in Computer / Softwareengineering(backend/frontend) with hands-on AI/ML application development or integration; internships/projects count toward demonstrable capability.
- Programming: Proficiencyin 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 ofguilds or creating internal playbooks/tutorials.
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)
AI Application Development
- Partner with IT to drive delivery of new featuresto internal functionsto accelerate SDLC phases.
- Combine classical ML,retrieval/agent patternsand leverage LLM capabilitiesto 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 produceagentic workflows for security scanning, remediation,and pipeline automation.
Platform & Integration
- Integrate solutions for central tools(Jira, Bitbucket, Confluence, Docker, Kubernetes, Jenkins, VMware, CloudBeesCI/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 setup telemetry endpoints and build dashboards/reports that gather adoptionandutilizationdata andcapture real-time value benefits of AItools.
Quality, Test & Reliability
- Design test strategies for AI features (unit, integration, adversarial, model-in-the-loop); apply Human and AI-assisted testing and demonstrateself-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.
- Coordinateon releases with IT to ensure new featuresare tested and enabled for Keysight’s Software Engineering community.
Education
- Bachelor’sor master's in computer science, electrical/electronic engineering, or related field; advanced ML/AI coursework or certifications preferred.
MustHave
- Experience: 4-8 years in Computer / Softwareengineering(backend/frontend) with hands-on AI/ML application development or integration; internships/projects count toward demonstrable capability.
- Programming: Proficiencyin 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 ofguilds or creating internal playbooks/tutorials.
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)