Senior Solutions Architect - Enterprise AI

Nvidia • Santa Clara, CA

97d • $184,000 - $287,500 • Remote

About The Position

We are now looking for a Senior Solution Network Architect, Enterprise Products! Join the NVIDIA Solution Architect to support Enterprise Products team as a Senior Network Architect, where your passion and expertise in networking, compute hardware, storage, and cloud-native software will be pivotal. We are on the lookout for a multifaceted professional with a profound understanding of large network design, distributed systems, and datacenter architecture. As a key member of our team, you will engage in a collaborative, multi-disciplinary approach to craft scalable datacenter implementations for enterprise-grade AI systems. Your role involves translating high-level goals into detailed specifications for platforms and datacenter architectures, leading to the development of robust implementations. Collaborating with other specialists in compute hardware, software, and storage domains, you will be developing, validating, and profiling reference cluster designs specifically tailored for enterprise datacenter environments. At the core of our mission is the building and validation of on-prem cloud-ready solutions that seamlessly interoperate across various cloud service providers (CSPs), enabling the realization of hybrid enterprise AI solutions. If you are ready to embark on a journey that combines innovation, collaboration, and groundbreaking technology, then this opportunity is tailored for you.

Requirements

• Bachelor's degree or equivalent experience
• 8-10 years+ years hardware or infrastructure architecture experience
• Expertise in architecting cluster designs for on-prem cloud-native platforms
• Domain proficiency in advanced networking emphasizing scalability, portability, security and resilience
• Ability to evaluate diverse networks, capturing differences and conducting research on their behavior under varied workloads
• Possess a deep understanding of cloud-native architecture concepts and practices, especially for high availability, scalability, resilience, performance, and security in the compute domain
• Understand and apply networking patterns at a chassis, rack, cluster and data center level in designing reference architectures
• Talent in presenting technical concepts optimally through strong written and oral skills to both technical and non-technical audiences
• Leadership in designing clusters with a technical emphasis on networking setup, network management solutions, and network specific security and remote access technologies and approaches
• Demonstrate a comprehensive grasp of network design, and its impact on improving the overall quality of cluster reference designs

Nice To Haves

• Hold relevant certifications such as Cisco certified, Arista Cloud Engineer (ACE) or Juniper Networks certifications
• Demonstrate wider experience beyond Networking in Compute, Storage, Infrastructure, Platform Sizing, and Infrastructure Cost Reduction for a broad approach to system architecture
• Exhibit skills in Total Cost of Ownership (TCO) analysis specifically focused on datacenter architectures to optimize resource utilization and efficiency

Responsibilities

• Own the creation of scalable datacenter solutions for enterprise AI/ML systems
• Craft detailed requirements for pioneering infrastructure patterns and datacenter wide architectures
• Create and validate cluster designs, optimizing them for enterprise facilities
• Collaborate closely with other experts in compute, software, and storage to drive innovation
• Lead multi-disciplinary projects, addressing high-level goals and complex challenges
• Engineer on-premises cloud-native solutions that flawlessly integrate with diverse cloud providers
• Assume a pivotal role for the compute and hardware architecture domain, driving expertise and excellence
• Showcase a multidisciplinary understanding of Ethernet, InfiniBand, data center LAN, WAN, WiFi, and SD networks
• Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness

Benefits

• Competitive salaries
• Generous benefits package
• Equity options

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree