Senior Manager, Network Development

Oracle•Nashville, TN

55d

About The Position

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. As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Requirements

BS or MS in Computer Science, Network/Electrical Engineering, or equivalent experience.
Minimum 7+ years of experience in large-scale physical network support with 2-4 years of people management experience.
Minimum 2+ years of experience in 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

leading a team of network development engineers
provisioning, securing, scaling & operating the network stack required to run distributed AI workloads across a cluster spanning thousands of GPUs
building complex distributed systems involving the management and control of hundreds of thousands of network devices