NVIDIA

1 month ago

Solution Architect - ISV for AI Infra

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join NVIDIA's Solution Architecture team to enable Industry Software Vendors (ISVs) building the Agentic AI stack for multi-workloads. Architect hybrid and multi-cloud GPU-accelerated AI solutions, guide customers to NVIDIA-based architectures, optimize infrastructure, and collaborate with global teams to ensure successful ISV engagements and scalable deployments.

Location: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Work with ISVs and end customers to understand their system architecture, technical requirements, and business workflows, then guide them toward the best NVIDIA-based solution.
•Architect hybrid and multi-cloud AI solutions, guiding ISVs and customers on deploying GPU-accelerated workloads across major public clouds and private data centers.
•Design and optimize scalable AI infrastructure solutions, providing guidance on configuring CPU/GPU servers, storage, and networking for high-performance workloads.
•Support technical discovery, proof-of-concept development, infrastructure validation, and production adoption for industry software platforms.
•Provide technical leadership in deploying AI applications across diverse environments, including bare-metal servers, virtualized instances, and cloud-native containerized clusters.

Key Requirements

•MSc/PhD in Computer Science, Electrical Engineering, IT Infrastructure, or related field (or equivalent experience).
•3+ years in infrastructure/cloud architecture, technical consulting, or customer-facing technical roles.
•Strong domain expertise with understanding of enterprise infrastructure and real-world workflows.
•Knowledge of GPU architecture and its application in accelerating modern workloads.
•Hands-on experience with enterprise IT infrastructure, including CPU/GPU servers, data centers, and HPC environments.

Experience:3+ yearsInfrastructureCloudGPUHPCEnterprise IT

Education:Master's

Skills:DockerPodmanKubernetesSlurmGPUCloudData centersHPCLinux

Languages:English

Tech Stack:DockerPodmanKubernetesSlurmGPUCPU serversData centersHPCCloud platforms

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Solution Architect - ISV for AI Infra

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Beijing, Shanghai, Shenzhen

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Work with ISVs and end customers to understand their system architecture, technical requirements, and business workflows, then guide them toward the best NVIDIA-based solution.
•Architect hybrid and multi-cloud AI solutions, guiding ISVs and customers on deploying GPU-accelerated workloads across major public clouds and private data centers.
•Design and optimize scalable AI infrastructure solutions, providing guidance on configuring CPU/GPU servers, storage, and networking for high-performance workloads.
•Support technical discovery, proof-of-concept development, infrastructure validation, and production adoption for industry software platforms.
•Provide technical leadership in deploying AI applications across diverse environments, including bare-metal servers, virtualized instances, and cloud-native containerized clusters.

Key Requirements

•MSc/PhD in Computer Science, Electrical Engineering, IT Infrastructure, or related field (or equivalent experience).
•3+ years in infrastructure/cloud architecture, technical consulting, or customer-facing technical roles.
•Strong domain expertise with understanding of enterprise infrastructure and real-world workflows.
•Knowledge of GPU architecture and its application in accelerating modern workloads.
•Hands-on experience with enterprise IT infrastructure, including CPU/GPU servers, data centers, and HPC environments.

Experience:3+ yearsInfrastructureCloudGPUHPCEnterprise IT

Education:Master's

Skills:DockerPodmanKubernetesSlurmGPUCloudData centersHPCLinux

Languages:English

Tech Stack:DockerPodmanKubernetesSlurmGPUCPU serversData centersHPCCloud platforms

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor