AI Innovation Engineer – CAE Applications
hace 12 horas
Barcelona
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. Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta oportunidad? Descúbralo a continuación. 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 Keysight’s AI Labs is a global R&D group pioneering the integration of machine learning, generative AI into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows. About the AI Team Join Keysight's central AI Hub in the heart of Barcelona. We are expanding our newly formed AI Team.As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI. About the Role We are looking for a senior, hands-on AI engineer who thrives at the intersection of innovation and scalable product development. You will lead the design, prototyping, and industrialization of AI solutions across our CAE product landscape, driving technical excellence from early concept to robust production deployment. In this role, you will combine creativity with engineering rigor, transforming innovative AI ideas into reliable, scalable, and maintainable systems that create real impact across Business Units. Responsibilities • Lead the design and prototyping of AI demonstrators, such as engineering agents or physics-informed machine learning solutions, leveraging low-code/no-code tools where appropriate., • Own the end-to-end industrialization of selected prototypes, ensuring scalability, reliability, performance, and maintainability in production environments., • Design and implement scalable AI architectures, APIs, and backend services aligned with cloud-native best practices., • Deploy AI services in cloud or hybrid environments using containerization technologies (e.g., Docker) and Kubernetes-based platforms., • Define technical standards, architectural guidelines, and best practices for AI deployment across Business Units., • Partner closely with the central AI team providing core components and governance frameworks., • Support and guide internal teams in launching AI initiatives, coaching, co-building, and promoting best practices in AI productization. Required Qualifications • Several years of experience designing, building, and deploying production-grade AI applications., • Strong Python programming skills and hands-on experience with modern AI/ML frameworks., • Proven experience bringing AI solutions from prototype to scalable, maintainable production systems., • Experience designing APIs and integrating services within distributed, scalable architectures., • Hands-on experience deploying AI services in cloud or hybrid environments using containerization technologies such as Docker; familiarity with Kubernetes-based platforms is expected., • Experience making architectural trade-offs and designing scalable AI systems in cross-functional environments., • Ability to provide technical guidance or mentorship to other engineers., • A creative mindset combined with rigor and discipline in productization., • Strong autonomy and initiative, you are comfortable leading technical exploration independently. Desired Qualifications • Hands-on experience with 3D CAE tools in mechanical or manufacturing contexts (e.g., stamping, crash, casting, assembly)., • Experience with physics-informed machine learning or AI applications in engineering simulation environments. xcskxlj Careers Privacy Statement*Keysight is an Equal Opportunity Employer.