Job Description

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.

You Are:

You are an experienced, passionate, and self-driven individual who possesses both a broad technical strategy and the ability to tackle architectural and modernization challenges. You thrive in dynamic environments and are proficient in building enterprise Machine Learning platforms. Your expertise spans across multiple programming languages, cloud services, and modern software architecture principles. You have a knack for solving complex problems and are adept at creating scalable, efficient, and reliable systems. Your collaborative spirit and innovative mindset drive you to work seamlessly with teams of ML engineers and Data scientists, contributing to groundbreaking advancements in AI and machine learning.

What You’ll Be Doing:

• Building an AI Platform for Synopsys to orchestrate enterprise-wide data pipelines, ML training, and inferencing servers.
• Developing an "AI App Store" ecosystem to enable R&D teams to host Gen AI applications in the cloud.
• Creating capabilities to ship cloud-native (containerized) AI applications/AI systems to on-premises customers.
• Orchestrating GPU scheduling from within the Kubernetes ecosystem (e.g., Nvidia GPU Operator, MIG, etc.).
• Designing reliable and cost-effective hybrid cloud architecture using cutting-edge technologies (e.g., Kubernetes Cluster Federation, Azure Arc, etc.).
• Collaborating with cross-functional teams to experiment, train models, and build Gen AI & ML products.

The Impact You Will Have:

• Driving the development of advanced AI platforms that empower Synopsys' R&D teams.
• Enabling the creation of innovative Gen AI applications that push the boundaries of technology.
• Ensuring the efficient orchestration of data pipelines and ML training, leading to faster and more accurate AI models.
• Contributing to the development of scalable and reliable AI systems that can be deployed across various environments.
• Enhancing Synopsys' capabilities in cloud-native and hybrid cloud architecture, improving flexibility and cost-effectiveness.
• Fostering a culture of innovation and collaboration within the AI and ML engineering teams.

What You’ll Need:

• BS/MS/PhD in Computer Science/Software Engineering or an equivalent degree.
• 8+ years of experience in building systems software, enterprise software applications, and microservices.
• Expertise in programming languages such as Go and Python.
• Experience in building highly scalable REST APIs and event-driven software architecture.
• In-depth knowledge of Kubernetes, including deployment on-premises and working with managed services (AKS/EKS/GKE).
• Strong systems knowledge in Linux Kernel, CGroups, namespaces, and Docker.
• Experience with at least one cloud provider (AWS/GCP/Azure).
• Proficiency in using RDBMS (PostgreSQL preferred) for storing and queuing large datasets.