AI Engineer - Staff

at  Synopsys

WE ARE:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

• Designing and developing scalable, modular platform solutions that promote reuse and are easily integrated into our diverse product suite.
• Collaborating with cross-functional teams to understand their needs and incorporate user feedback into the platform’s development.
• Establishing and Implementation of best practices for modern software architecture, including microservices, serverless computing, and API-first strategies and CI/CD.
• Driving the strategy for containerization and orchestration using Docker, Kubernetes, or equivalent technologies.
• Benchmarking LLM models with varying load profiles to evaluate model performance.
• Developing Cloud native solutions for GenAIapps including Helm development, CRD, working with Kubernetes APIs,Storage class, PVCs, Services, Ingress controllersetc
• Handson Kubernetes monitoring Architecture including building Grafana dashboards, custom metrics, autoscaling etc.
• Hands on GPU Administration on Kubernetes including monitoring,multi-instance GPU etc.
• Incorporating AI and machine learning capabilities into the platform to facilitate smarter workflows and predictive analytics