Manager - Cluster Network Deployment

Job Description

The AI2NE Org strives to be global leaders in the RDMA cluster networking domain and enable seamless, accelerated High-Performance Compute (HPC), Artificial Intelligence and Machine Learning advancements. We envision a future where artificial intelligence and machine learning revolutionize industries, reshape societies, and unlock limitless possibilities. Our vision is to be a pioneering force, driving the development and design of state-of-the-art RDMA clusters tailored specifically for AI, ML, HPC workloads. We strive to be the go-to experts in RDMA cluster architecture, leveraging our deep understanding of the unique demands of AI/ML and HPC applications. By staying at the forefront of technological advancements, we aim to redefine the boundaries of what is possible, pushing the envelope of computational capabilities and unlocking unprecedented performance. We're looking for a hands-on leader with strong management experience to help us build new features and grow our team. The role will be leading a team of network development engineers in a fast-paced environment that requires agility and the drive to deliver.The team will be responsible for provisioning, securing, scaling & operating the network stack required to run distributed AI workloads across a cluster spanning thousands of GPUs. The candidate should be comfortable with building complex distributed systems involving the management and control of hundreds of thousands of network devices. BS or MS in Computer Science, Network/Electrical Engineering, or equivalent experience. Minimum 5+ years of experience in large-scale physical network support. Minimum 2+ years of management experience in Network Development/Deployment at scale. Experience building scalable, cloud-native distributed systems. Ability to work in a collaborative, cross-functional team environment. Solid understanding of key networking technologies needed for the cloud including: network design and fabrics, networking protocols, network automation, network telemetry and common hardware platforms Ability to effectively communicate technical ideas verbally and in writing. Understand the end-to-end configuration, technical dependencies, and overall behavioral characteristics of production services. Experience with production operations and best practices for deploying code in production and troubleshooting issues when they arise. Responsibilities: Value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Able to manage multiple projects and priorities in a fast-paced environment, be results-driven, and thrive even when faced with ambiguity and uncertainty. Be a team player, someone who is eager to learn, and willing to do whatever it takes to help the team succeed. Own and develop highly available services. Lead network development programs across the cluster networking. Attract, develop & manage a team of highly skilled engineers. Define and develop roadmaps to deliver network deployment efficiencies. Develop, grow, and maintain data-driven metric programs that speak to both the operational and business status of the physical networking domain. Solve difficult problems in distributed systems, infrastructure, and highly available services. Collaborate with Network Engineering, Network Automation, Network Monitoring, GNOC operations, and other Engineering teams to deliver a highly available service to our customers. Participate in on-call rotation for managers. Career Level - M2