Senior Solutions Architect - Cluster Design and Architecture

NVIDIA
Santa Clara
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Problem-solving","Teamwork"]

Senior Solutions Architect in the Cluster Design and Architecture team focusing on GPU, NVLink, and infrastructure design. You will design and validate large-scale GPU-based clusters for AI and HPC, translate complex engineering concepts into customer-facing documentation, collaborate with field teams and customers, and support NPI deployments and troubleshooting across multi-disciplinary teams.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior Solutions Architect - Cluster Design and Architecture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Senior Solutions Architect in the Cluster Design and Architecture team focusing on GPU, NVLink, and infrastructure design. You will design and validate large-scale GPU-based clusters for AI and HPC, translate complex engineering concepts into customer-facing documentation, collaborate with field teams and customers, and support NPI deployments and troubleshooting across multi-disciplinary teams.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Partner with internal engineering efforts in GPU cluster design and networking and convey architecture and optimal process information both direct to customer and with field teams supporting customers
  • •Guide field teams and their customers in cluster design, weighing design principles but also complex, situational limitations to make the most performant and supportable GPU clusters possible
  • •Work closely with field teams supporting customers to ensure successful first deployments with new products, including new network architectures and topologies
  • •Feedback customer/field perspectives on cluster design and workflows back to engineering teams designing internal clusters and/or creating customer facing documentation on standard processes and service flows
  • •Perform hands-on work to assist field teams debugging issues relating to cluster design, configuration, and performance employing internal engineering expertise and known bugs

Pay and Benefits

Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience)
  • •8+ years of experience in cluster design, validation, and issue resolution, specifically on GPU and HPC clusters
  • •Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure
  • •Ability to translate sophisticated engineering concepts into customer-ready documentation, diagrams, and reference material
  • •Expertise in driving customer/partner issues to a close with product and engineering teams
Experience:8+ yearsAIHPCGPUDistributed systems
Education:Bachelor's in Computer Science
Skills:CommunicationPresentationProblem-solvingTeamwork
Tech Stack:GPUNVLinkNVIDIA NetworkingNCCLMPIIMEXNMX

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor