Physical AI Intern

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 Keysight experts in RF, EM, circuit, and measurement domains to translate physical constraints into ML‑ready formulations.
• Design and implement GNNs for geometry/topology‑aware modeling, Transformers for multimodal physical data, Vision Models for field/spectrogram‑based detection, and Generative Models (GANs, Diffusion) for design candidate generation and augmentation.
• Apply Bayesian, gradient‑based, and RL‑based optimization (PPO, DDPG, SAC) for continuous physical tuning and control.
• Develop scalable training/inference pipelines (multi‑GPU, HPC, AWS) and write production‑ready Python, C++, and CUDA code.
• Benchmark models against physics simulators and collaborate with product teams to embed AI modules into Keysight software.

Required Qualifications

• Pursuing PhD in EE, Applied Math, CS, or related field.
• Strong hands‑on experience with GNNs, Transformers, Vision Models, and generative models.
• Background in Bayesian/numerical optimization and applied RL.
• Proficiency in Python, C++, CUDA; experience with distributed/HPC training.
• Solid software engineering fundamentals (testing, CI/CD, modular design).

Desired Qualifications

• Experience applying ML/RL to physical parameter tuning or design exploration.
• Familiarity with Keysight tools (ADS, RFPro, EMPro, Signal Studio).
• Publications or patents in scientific ML, generative modeling, RL, or optimization.

Candidates who wish to be considered must be enrolled in a 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.

Careers Privacy Statement Keysight is an Equal Opportunity Employer.