Senior Solutions Architect – Enterprise AI

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California

Posted

59 days ago

Salary

$184K - $287.5K / year

Seniority

Senior

Bachelor Degree8 yrs expExperience acceptedEnglishCloud

Job Description

Senior Solutions Architect – Enterprise AI

NVIDIA

• 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 (local area networking), WAN (wide area networking), WiFi, and SD (software-defined) networks • Conduct TCO analysis, optimizing datacenter efficiency for cost-effectiveness

Job Requirements

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

Benefits

  • Competitive salaries
  • Generous benefits package
  • Equity

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