Agentic AI PhD Intern — Build Explainable Automation

Keysight Technologies; Calabasas, Santa Rosa (CA, CA); On-site; USD 70,000 - 77,000; Part time

Benefits offered by this job

Mentorship

Portfolio project

Job summary

Keysight Technologies is seeking a PhD internship focused on agentic AI, where you will design, implement, and evaluate an agentic flow to configure data preparation, model training, and optimization for new engineering use cases. You will integrate tools across simulation, data, optimization, and analysis systems, and ensure the workflow is auditable and reproducible.

You will collaborate with AI research, software engineering, RF design, and test/measurement teams, build explainability into

Qualifications

• Currently pursuing or recently completed a PhD in Machine Learning, Computer Science, Electrical or Electronic Engineering, Applied Mathematics, or a related technical field.
• Strong Python and software engineering skills with reproducible pipelines.
• Hands-on experience building LLM agents, including tool calling, orchestration, and context management.
• Experience evaluating non-deterministic systems with benchmarks and hold-out test sets.
• A portfolio of agent or LLM systems with code and evaluation details.
• Knowledge of the machine learning workflow to configure data preparation, model selection, training, and optimization.

Responsibilities

• Build an agentic flow that configures data prep, model training, and optimization for new use cases.
• Develop tool integrations connecting agent to simulation, data, optimization, and analysis systems.
• Implement autonomous data analysis to characterize datasets and choose setups.
• Incorporate explainability into the flow detailing configuration choices and model dependencies.
• Design guardrails with validation, bounded actions, and compute budgets to keep runs cheap and visible.
• Benchmark representative engineering use cases and measure task completion reliability against a baseline.
• Apply agentic AI to engineering modeling and optimization workflows and learn from non-deterministic systems.
• Collaborate across AI research, software engineering, RF design, and test/measurement domains.

Education

PhD in related field

Tools

MCP protocol

Git & version control

Job description

Keysight Technologies is seeking a PhD internship focused on agentic AI, where you will design, implement, and evaluate an agentic flow to configure data preparation, model training, and optimization for new engineering use cases. You will integrate tools across simulation, data, optimization, and analysis systems, and ensure the workflow is auditable and reproducible.

You will collaborate with AI research, software engineering, RF design, and test/measurement teams, build explainability into