Solution Architect, SAE

NVIDIA
Gurugram, Bengaluru
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Analytical","Problem-solving","Multitasking","Written communication","Oral communication"]

Own end-to-end solution design and technical customer relationships for NVIDIA’s AI-accelerated platform. Guide customers through the sales process, integrating NVIDIA technology across data center, networking, cloud, and software architectures to enable AI at scale. Serve as an SME for large-scale software and hardware solution designs spanning deep learning, high-performance computing, and accelerated analytics, while working closely with regional customers and supporting RFPs.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Solution Architect, SAE

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Own end-to-end solution design and technical customer relationships for NVIDIA’s AI-accelerated platform. Guide customers through the sales process, integrating NVIDIA technology across data center, networking, cloud, and software architectures to enable AI at scale. Serve as an SME for large-scale software and hardware solution designs spanning deep learning, high-performance computing, and accelerated analytics, while working closely with regional customers and supporting RFPs.
Location: Gurugram, Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Assist field business development by guiding customers through the sales process for NVIDIA products while owning technical relationships.
  • •Help customers build innovative solutions based on NVIDIA platforms.
  • •Lead industry thought leadership on integrating NVIDIA technology into architectures to support AI at scale.
  • •Serve as an SME for large-scale software and hardware solution design across AI and cloud solutions.
  • •Collaborate with customers to solve problems and build successful NVIDIA solutions; support regional customers with RFP-related work.

Key Requirements

  • •B. Tech. or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
  • •8+ years of experience in solution designing for deep learning, high-performance computing, and cloud.
  • •Extensive experience with DevOps practices including Docker/Containers, Kubernetes, and datacenter deployments.
  • •Pre-sales experience across network, cloud, big-data/analytics sizing, large-scale enterprise solutions, and RFPs with regional customers.
  • •Recommended software experience with modern AI & cloud stacks, including deep learning software architecture and frameworks.
Experience:8+ yearsDeep learningHigh-performance computingCloudDevOpsAINetworkingEnterprise solutions
Education:Bachelor's in Engineering, Mathematics, Physics, Computer Science
Skills:AnalyticalProblem-solvingMultitaskingWritten communicationOral communication
Languages:English
Tech Stack:Deep LearningMachine LearningAccelerated AnalyticsDevOpsDockerKubernetesCloudHigh-performance computingDatacenter deploymentsNetworkingBig-data/AnalyticsAI & Cloud Stack

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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