Senior Solutions Architect, AI Hyperscalers

NVIDIA
Santa Clara
Workplace: HybridFull timeUSD 184,000 - 356,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Communication","Interpersonal skills","Problem-solving","Follow-up","Ability to learn"]

Lead AI/ML technical engagements for hyperscale customers and cloud service providers, serving as the primary point of contact for NVIDIA’s AI infrastructure. Work with engineering teams to secure design wins, move solutions into production, and support deployments through their lifecycle. Advise customers on scalable AI model deployment and inference optimization, run workshops/demos/proof-of-concepts, and proactively resolve technical issues. Partner across NVIDIA organizations and the customer to enhance outcomes and product direction.

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FursaFursa
NVIDIA
NVIDIA
4 months ago

Senior Solutions Architect, AI Hyperscalers

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead AI/ML technical engagements for hyperscale customers and cloud service providers, serving as the primary point of contact for NVIDIA’s AI infrastructure. Work with engineering teams to secure design wins, move solutions into production, and support deployments through their lifecycle. Advise customers on scalable AI model deployment and inference optimization, run workshops/demos/proof-of-concepts, and proactively resolve technical issues. Partner across NVIDIA organizations and the customer to enhance outcomes and product direction.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Serve as the main point of contact for NVIDIA products on a focused account team for AI/ML software infrastructure.
  • •Partner with engineering teams to secure design wins, address challenges, and bring solutions to production throughout their lifecycle.
  • •Advise customers by understanding their environment, constraints, and long-term strategy; translate insights into product requirements.
  • •Facilitate timely resolution of customer issues with proactive communications to mitigate risks.
  • •Lead workshops, demos, and proof-of-concepts, and guide customers on scalable AI model deployment and inference optimization.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Minimum BS/MS in Computer Science, Electrical Engineering, or equivalent experience.
  • •8+ years of engineering experience in AI/ML-focused projects or enterprise-grade solutions.
  • •Strong understanding of Linux for AI/ML workloads, including solving, optimization, and customization.
  • •Proficiency in Python; experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful.
  • •Professional-level communication skills for tailoring messages to technical audiences under high pressure.
Experience:8+ yearsAI/MLEnterprise solutionsHPCCloudHyperscale
Education:Bachelor's
Skills:CommunicationInterpersonal skillsProblem-solvingFollow-upAbility to learn
Tech Stack:PythonLinuxCUDADockerKubernetesPyTorchJAXVector databasesRAG pipelinesChatbotsGPU accelerationGPU clustersParallel programming

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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