NVIDIA

1 week ago

Solutions Architect - Rack Scale AI Systems

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Design and deploy Rack Scale AI products in datacenter or lab environments as part of the IPP Cloud Infrastructure team. Partner with product teams to understand roadmaps, define full-scale hosted/private-cloud onboarding, and solve multi-site deployment issues that improve quality and time to market. Collaborate with system, software, mechanical/thermal, operations, data center, and external vendors to deliver a reliable platform from concept to prototype to deployment, including cluster deployment and SW stack provisioning.

Location: Santa Clara, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Work with product teams to understand roadmaps and requirements for Rack Scale AI products.
•Design and deploy products in datacenter or lab environments using sophisticated techniques, services, and tools.
•Implement full-scale solutions for product onboarding into hosted and private cloud environments.
•Lead multi-site deployment problem-solving to improve deployment quality and time to market.
•Collaborate cross-functionally (systems, software, mechanical/thermal, operations, data center, vendors) and integrate/optimize cluster deployment and SW stack provisioning.

Pay and Benefits

Salary: USD 208,000 - 414,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's or Master's degree in Computer Science or Software Engineering, or equivalent experience.
•12+ years of relevant experience.
•6+ years of Linux and scripting experience.
•Solid background on OS kernels and system engineering.
•Strong technical skills in embedded systems, orchestration/automation, data centers, and cloud architecture, plus communication and planning skills.

Experience:12+ yearsCloud infrastructureArtificial intelligenceHigh-performance computingData centersDistributed infrastructure

Education:Bachelor's in Computer Science or Software Engineering

Skills:CommunicationPlanningProblem-solving

Tech Stack:LinuxScriptingOS kernelsEmbedded systemsOrchestrationAutomationWindowsAndroidNVIDIA GPUsTegra processorsDistributed infrastructureCloud architectureDatacenterCluster deploymentProvisioningMPIInfiniBandCluster StorageSchedulingGPU

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 week ago

Solutions Architect - Rack Scale AI Systems

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Santa Clara, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Work with product teams to understand roadmaps and requirements for Rack Scale AI products.
•Design and deploy products in datacenter or lab environments using sophisticated techniques, services, and tools.
•Implement full-scale solutions for product onboarding into hosted and private cloud environments.
•Lead multi-site deployment problem-solving to improve deployment quality and time to market.
•Collaborate cross-functionally (systems, software, mechanical/thermal, operations, data center, vendors) and integrate/optimize cluster deployment and SW stack provisioning.

Pay and Benefits

Salary: USD 208,000 - 414,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor's or Master's degree in Computer Science or Software Engineering, or equivalent experience.
•12+ years of relevant experience.
•6+ years of Linux and scripting experience.
•Solid background on OS kernels and system engineering.
•Strong technical skills in embedded systems, orchestration/automation, data centers, and cloud architecture, plus communication and planning skills.

Experience:12+ yearsCloud infrastructureArtificial intelligenceHigh-performance computingData centersDistributed infrastructure

Education:Bachelor's in Computer Science or Software Engineering

Skills:CommunicationPlanningProblem-solving

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