ML Intern – Calibration & Measurement Optimization

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.

• Partner with RF measurement and post‑silicon teams to translate calibration workflows, de‑embedding challenges, and characterization requirements into ML‑ready formulations.
• Develop ML models for adaptive calibration (SOLT, TRL, multiline TRL), intelligent de‑embedding, and fixture characterization — including Transformers for frequency‑domain signal analysis and Vision Models for calibration artifact identification.
• Apply Bayesian/GP optimization for adaptive calibration loop closure, impedance tuner control, and parametric yield optimization; RL (PPO, DDPG, SAC) for automated measurement sequencing and closed‑loop RF tuning.
• Build generative models for synthetic S‑parameter dataset generation and calibration standard augmentation.
• Write production‑ready Python (scikit‑rf, PyTorch), C++, and CUDA code; integrate with instrument control frameworks (SCPI, IVI, VISA).
• Benchmark models against hardware measurements and physics‑based calibration standards.

• Pursuing PhD in EE (RF/Microwave), Applied Physics, CS, or related field.
• Hands‑on RF measurement experience: S‑parameter characterization, calibration, and de‑embedding.
• Strong ML background with experience applying GNNs, Transformers, or Neural Operators to measurement or signal‑processing tasks.
• Background in Bayesian optimization applied to hardware calibration or measurement tuning.
• Familiarity with SCPI/IVI/PyVISA instrument control and RF measurement automation.

• Experience with advanced calibration techniques (multiline TRL, unknown thru, in‑fixture, on‑wafer probing).
• Background in load‑pull, noise figure, or linearity characterization (IP3, P1dB) for RF device optimization.
• Familiarity with Keysight RF platforms (PNA, PNA‑X, ENA) or simulation tools (ADS, RFPro).
• Publications or patents in ML for RF measurement, smart calibration, or adaptive test.

Candidates who wish to be considered must be enrolled in an accredited college/university as of September 2026. Applicants who have graduated before September 2026 will not be considered unless they are entering/applying to a MS or PHD program after graduating.

Visa Sponsorship is not available for this position. Candidates who now or at any point in the future require sponsorship for employment visa status (e.g., H‑1B Visa status) may not be considered.

California Pay Range: $60.82−$65.50 per hour

Based on experience, education and skills, most offers will be between the minimum and the midpoint of the Salary Range listed above.

Note:

For other locations, pay ranges will vary by region.

Keysight is an Equal Opportunity Employer.