Senior Deep Learning Engineer (Pytorch, Distributed Training)

Keysight 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 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.About Keysight AI LabsJoin Keysight’s central AI team in Barcelona, 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.About the AI TeamWe are expanding the Team and You’ll join a cross-disciplinary AI & Modeling team in the heart of Barcelona.The Team develops physics-informed, data-driven, and reinforcement learning systems 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.About the RoleAs aSenior Deep Learning Engineer , you will design, build, and deploy advanced deep learning models and scalable ML systems that power real?world applications.You will contribute across the full ML lifecycle - from research and experimentation to large-scale training and production deployment - ensuring high standards in performance, reliability, and maintainability.This role requires strong hands?on experience with modern deep learning architectures and distributed training techniques, as well as the ability to translate research concepts into efficient, production-ready implementations.ResponsibilitiesDesign and implement advanced deep learning architectures, including:Transformer?based modelsSequence and representation learning modelsPrediction, classification, and representation learning tasksGenerative modeling approaches (diffusion models, autoregressive models, VAEs)Build and optimize scalable training pipelines:Distributed training using DDP, FSDP, DeepSpeed or similar frameworksMulti?GPU and multi?node training environmentsImprove model efficiency and performance:Memory optimization techniquesGPU utilization profiling and optimizationDevelop production?ready ML systems:Model serving and inference optimizationDeployment pipelines and integration into production environmentsMonitoring, validation, and performance trackingContribute to engineering excellence:Write high?quality, maintainable, and well?tested codeApply best practices in modular design, testing, and CI/CDParticipate in design reviews and architecture discussionsStay current with advances in deep learning and evaluate new methods for practical applicability.Required QualificationsMaster’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field5+ years of hands?on experience developing deep learning or machine learning systems in production or research environmentsStrong experience with modern deep learning frameworksStrong understanding of deep learning fundamentals:Optimization techniques and training dynamicsExperience training models at scale:Multi?GPU or multi?node distributed environmentsExperience with C++ and/or CUDA is a plusExperience optimizing model performance and training efficiencySolid software engineering practices:Testing and CI/CD pipelineModular and maintainable code designStrong collaboration and communication skills in cross?functional environmentsDesired QualificationsExperience training or deploying large?scale foundation models or generative modelsExperience with model optimization techniques:DistillationExperience working with distributed compute environments or HPC clustersContributions to open?source ML projects, publications, or technical communitiesExperience working in interdisciplinary environments involving scientific or engineering dataCareers Privacy Statement: Keysight is an Equal Opportunity Employer.#J-*****-Ljbffr

Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field 5+ years of hands?on experience developing deep learning or machine learning systems in production or research environments Strong experience with modern deep learning frameworks Strong understanding of deep learning fundamentals: Optimization techniques and training dynamics Experience training models at scale: Multi?GPU or multi?node distributed environments Experience with C++ and/or CUDA is a plus Experience optimizing model performance and training efficiency Solid software engineering practices: Testing and CI/CD pipeline Modular and maintainable code design Strong collaboration and communication skills in cross?functional environments Desired Qualifications Experience training or deploying large?scale foundation models or generative models Experience with model optimization techniques: Distillation Experience working with distributed compute environments or HPC clusters Contributions to open?source ML projects, publications, or technical communities Experience working in interdisciplinary environments involving scientific or engineering data

Madrid, España

Keysight 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 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. About Keysight AI Labs