Solutions Architect, Hyperscale

NVIDIA
Santa Clara
Full timeUSD 152,000 - 218,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Communication","Interpersonal","Presentation","Customer-facing","Problem-solving"]

Operate as a Solutions Architect focusing on AI and HPC systems for hyperscale environments. Translate customer needs into scalable AI software/hardware solutions, benchmark performance, and collaborate with Sales, Developer Relations, and Product teams to drive opportunities. Deliver PoCs, technical presentations, and workshops to optimize NVIDIA GPU-based deployments and performance.

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FursaFursa
NVIDIA
NVIDIA
5 months ago

Solutions Architect, Hyperscale

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Last checked: 4 hours agoStatus: Live

Job Summary

Operate as a Solutions Architect focusing on AI and HPC systems for hyperscale environments. Translate customer needs into scalable AI software/hardware solutions, benchmark performance, and collaborate with Sales, Developer Relations, and Product teams to drive opportunities. Deliver PoCs, technical presentations, and workshops to optimize NVIDIA GPU-based deployments and performance.
Location: Santa Clara
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Develop and demonstrate AI software and hardware solutions with hyperscalers.
  • •Build customers’ trust and understand their unique needs.
  • •Be the go-to technical resource for customers building complex infrastructure and help them understand performance characteristics for the best solution.
  • •Partner with Sales, Developer Relations, and Product teams to identify and secure business opportunities for NVIDIA products and solutions.
  • •Conduct technical meetings for project/product details, feature discussions, and debugging sessions

Pay and Benefits

Salary: USD 152,000 - 218,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other equivalent engineering fields (or equivalent experience)
  • •5+ years of Solutions Engineering or similar experience in AI-related fields
  • •Proficiency in AI, ML and HPC applications
  • •Comprehensive knowledge of computer system architecture including PCIe, networking, etc and their impact on AI application performance
  • •Experience in designing, running and troubleshooting performance benchmarks for AI systems including GPU and multi-node systems
Experience:5+ yearsAIHPCGPUML
Education:Master's
Skills:CommunicationInterpersonalPresentationCustomer-facingProblem-solving
Tech Stack:AIMLHPCPCIeNetworkingGPUMulti-node

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
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