NVIDIA

4 weeks ago

Solutions Architect, Data Center Buildouts - NVIS

✓ 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

Lead planning and deployment of large-scale AI data centers, focusing on infrastructure buildout (power distribution, cooling, telemetry, controls) and delivery processes. Collaborate across product, engineering, and partner ecosystems to design, build, and validate NVIDIA reference architectures for hyperscale data centers, ensuring reliability, scalability, and cost-effectiveness.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead and oversee NVIS Data Center deployment planning, collaborating with product and engineering teams to translate NVIDIA reference architectures into reliable data center designs.
•Develop and institutionalize processes, partner relationships, and workflows to deliver large AI factories rapidly and at scale.
•Review and authorize infrastructure design plans for compliance with reference architectures, standards, and regulatory requirements, providing optimization guidance.
•Ensure alignment with customers/partners on reference architecture, guidelines, and processes to enable successful deployments.
•Conduct pre-deployment audits and assess operational readiness of data center components to identify risks and opportunities for improvement.

Travel: Low travel

Pay and Benefits

Salary: USD 224,000 - 431,250 annually

Equity and Bonus:Equity

Perks:Health InsuranceRetirementEquity401kPensionRemote WorkLearning BudgetWellness StipendGym MembershipMeal AllowanceAnnual BonusRelocationPaid LeaveParental Leave

Key Requirements

•Bachelor's degree or equivalent experience in Engineering or related field; advanced degree or relevant certifications desirable
•12+ years of experience in infrastructure delivery, preferably in hyperscale AI/HPC data centers
•Proven experience in data center engineering, operations, deployment or infrastructure management for large-scale deployments
•Strong technical knowledge in data center systems (power distribution, liquid cooling, racks/servers, cabling) and ability to lead under changing conditions
•Excellent communication and collaboration skills with customers and internal teams

Experience:12+ yearsData centerAIHPCInfrastructureHyperscale

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Tech Stack:Power distributionCooling systemsTelemetryControl systemsNetworkingCablingArchitecture reference designs

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

4 weeks ago

Solutions Architect, Data Center Buildouts - NVIS

✓ 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: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead and oversee NVIS Data Center deployment planning, collaborating with product and engineering teams to translate NVIDIA reference architectures into reliable data center designs.
•Develop and institutionalize processes, partner relationships, and workflows to deliver large AI factories rapidly and at scale.
•Review and authorize infrastructure design plans for compliance with reference architectures, standards, and regulatory requirements, providing optimization guidance.
•Ensure alignment with customers/partners on reference architecture, guidelines, and processes to enable successful deployments.
•Conduct pre-deployment audits and assess operational readiness of data center components to identify risks and opportunities for improvement.

Travel: Low travel

Pay and Benefits

Salary: USD 224,000 - 431,250 annually

Equity and Bonus:Equity

Perks:Health InsuranceRetirementEquity401kPensionRemote WorkLearning BudgetWellness StipendGym MembershipMeal AllowanceAnnual BonusRelocationPaid LeaveParental Leave

Key Requirements

•Bachelor's degree or equivalent experience in Engineering or related field; advanced degree or relevant certifications desirable
•12+ years of experience in infrastructure delivery, preferably in hyperscale AI/HPC data centers
•Proven experience in data center engineering, operations, deployment or infrastructure management for large-scale deployments
•Strong technical knowledge in data center systems (power distribution, liquid cooling, racks/servers, cabling) and ability to lead under changing conditions
•Excellent communication and collaboration skills with customers and internal teams

Experience:12+ yearsData centerAIHPCInfrastructureHyperscale

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solving

Tech Stack:Power distributionCooling systemsTelemetryControl systemsNetworkingCablingArchitecture reference designs

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