Physics-Informed AI Intern
US-CA-Santa Rosa
US Careers (External)
Req #: 51867
Type: 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. Responsibilities: Responsibilities * Formulate physics-informed ML problems in collaboration with RF, EM, circuit, and CAE domain experts. * Implement PINNs (embedding PDEs as soft/hard constraints), Neural Operators (FNO, DeepONet, GNO) for EM/S-parameter surrogate modeling, and hybrid physics-data models. * Build fast ML surrogates for CAE workflows - replacing or accelerating FEM, FDTD, and MoM solvers for thermal, structural, and electromagnetic simulation in the design loop. * Develop GNN-based models for topology-aware physical circuit and transmission line modeling. * Apply physics-constrained Bayesian optimization, adjoint/gradient methods for differentiable simulators, and RL with physics-based reward shaping. * Develop scalable pipelines with physics-aware data loaders and benchmark against full-wave EM and CAE reference solvers. Qualifications: 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.***
Share this job:
