descripción del trabajo

puaKeysight /a /u is on 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 uaabout what we do. /a /u /ppbr/ppbr/ppOur uaaward-winning /a /u 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. /ppbr/ppbr/ppstrongAbout Keysight AI Labs /strong /ppJoin strongemaKeysight's central AI team in Barcelona /a /em /strong, a newly formed hub driving innovation in machine learning. As part of this growing team, you’ll have the chance to shape our AI strategy and make an immediate impact. Our work spans supervised and unsupervised learning, generative models, multimodal systems, reinforcement learning, and large language models. /ppbr/ppbr/ppstrongAbout the AI Team /strong /ppWe are expanding the Team and You’ll join a cross-disciplinary AI Modeling team in the heart of Barcelona. The Team develops strongphysics-informed, data-driven, and reinforcement learning systems /strong that accelerate design, measurement, and optimization processes across domains such as RF, EM, circuits, and advanced instrumentation. The group collaborates closely with hardware engineers, domain scientists, and product software developers to bring AI models from research into production tools used globally. /ppbr/ppbr/ppstrongAbout the Role /strong /ppAs a strongSenior Applied Machine Learning Engineer /strong, you will design, implement, and deploy strongstate-of-the-art ML architectures /strong that merge physics insights, numerical optimization, and modern AI techniques. /ppbr/ppYou’ll contribute to building scalable and explainable ML systems, from stronggeometry-aware GNNs and Transformers /strong to strongreinforcement learning and generative models, /strongthat drive design automation, anomaly detection, and optimization in Keysight’s next-generation platforms. /p pbr/ppstrongResponsibilities /strong /pulliPartner with Keysight experts in RF, EM, circuit, and measurement domains to translate physical constraints and design workflows into ML-ready formulations. /liliDesign and implement advanced ML architectures: /lilistrongGraph Neural Networks (GNNs) /strong for geometry/topology-aware modeling /lilistrongTransformers /strong for sequential and multimodal data /lilistrongVision Models (CNNs, ViTs) /strong for field- or spectrogram-based detection /lilistrongGenerative Models (GANs, Diffusion) /strong for data augmentation and design candidate generation /liliApply advanced optimization and control methods: /liliBayesian, gradient-based, and gradient-free optimization /liliReinforcement Learning (PPO, DDPG, SAC) for continuous tuning and control tasks /liliDevelop scalable training and inference pipelines (multi-GPU, HPC, AWS) ensuring efficiency and reliability. /liliWrite production-ready code in strongPython, C++, and CUDA /strong, integrating with CI/CD pipelines and performance profiling tools. /liliBenchmark ML and RL models against physics simulators and measurement datasets for robustness and reproducibility. /liliCollaborate with product teams to embed AI/ML-based optimization and generative modules into Keysight software. /liliStay current with the latest ML, RL, and generative AI research; evaluate and prototype promising new techniques. /li /ul pbr/ppstrongRequired Qualifications /strong /pulliMaster’s or PhD in strongApplied Mathematics, Scientific Computing, Computer Science, Electrical Engineering /strong, or related field /lilistrong5+ years /strong of experience applying scientific computing and optimization to real-world problems (e.g., RF, EM, or measurement systems) /liliStrong hands-on experience with strongmodern ML architectures /strong (GNNs, Transformers, Vision Models, Neural Operators) /liliPractical experience with stronggenerative models /strong (GANs, VAEs, Diffusion) /liliBackground in strongBayesian and numerical optimization /strong and hyperparameter tuning /liliApplied experience with strongreinforcement learning /strong (PPO, DDPG, SAC) /liliProficiency in strongPython, C++, CUDA /strong, and strongGPU performance optimization /strong /liliExperience with strongmulti-GPU/distributed training /strong in HPC or cloud (Slurm, MPI, AWS) /liliSolid software-engineering discipline (testing, CI/CD, modular design) /liliExcellent communication and collaboration skills across cross-functional teams /li /ul pbr/ppstrongDesired Qualifications /strong /pulliExperience applying ML/RL/generative models to strongparameter tuning, data augmentation, or design exploration /strong /liliFamiliarity with strongKeysight simulation tools /strong (ADS, RFPro, EMPro, Signal Studio, RaySim) /liliPublications or patents in strongscientific ML, generative modeling, RL, or optimization /strong /liliExperience deploying ML/RL systems in production or embedded workflows /li /ulpbr/ppbr/ppbr/ppbr/ppbr/ppuaCareers Privacy Statement /a /u***Keysight is an Equal Opportunity Employer.** /p