NVIDIA

3 days ago

Solutions Architect, Data Center MEP

✓ 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

Lead end-to-end planning and deployment of AI/HPC data center infrastructure, focusing on power distribution, liquid/air cooling, and telemetry/control systems. Translate NVIDIA guidance into scalable customer designs, review partner design packages for standards and regulatory alignment, and develop audit, QA, and commissioning processes. Partner with contractors and OEMs during construction and bring-up, mentor team members, and drive continuous improvement to improve reliability and efficiency.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead end-to-end planning and deployment of AI/HPC data centers from concept and reference design through construction, commissioning, and go-live.
•Collaborate with product and engineering teams to translate NVIDIA guidance for power distribution, cooling, controls/monitoring, and network/cabling into robust customer designs.
•Review and evaluate customer/partner design packages and recommend improvements for performance, scalability, cost-effectiveness, and sustainability.
•Develop pre-deployment audit plans and establish QA/commissioning processes for power, cooling, rack/server integration, telemetry, and control systems.
•Oversee construction, integration, and bring-up with contractors, OEMs, service providers, and customers; mentor teams and drive continuous improvement.

Travel: Medium travel

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, Information Technology, or related field (advanced degree/equivalent experience/certifications preferred).
•8+ years of experience in enterprise and/or hyperscale data centers with a focus on MEP design, construction, and deployment for high-density AI/HPC or mission-critical environments.
•Proven data center engineering, operations, or infrastructure management experience with responsibility for large-scale deployments and cross-functional coordination.
•Strong technical knowledge of data center power, cooling, controls/monitoring, and structured cabling for high-density deployments.
•Strong analytical/problem-solving skills and ability to lead complex programs from design through commissioning and hand-off.

Experience:8+ yearsEnterprise data centersHyperscale data centersAI/HPC

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingCommunicationInterpersonal skillsOrganization

Certifications:BICSICNCDPFOA Data Center – CFOS/DC (Certified Fiber Optics Specialist, Datacenter)

Tech Stack:Power distributionUPSSwitchgearPDUsRack powerLiquid coolingAir coolingChillersCDUCRAHCRACDirect-to-chipImmersionStructured cablingNetwork/cabling architectureTelemetryControl systems

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

3 days ago

Solutions Architect, Data Center MEP

✓ 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: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead end-to-end planning and deployment of AI/HPC data centers from concept and reference design through construction, commissioning, and go-live.
•Collaborate with product and engineering teams to translate NVIDIA guidance for power distribution, cooling, controls/monitoring, and network/cabling into robust customer designs.
•Review and evaluate customer/partner design packages and recommend improvements for performance, scalability, cost-effectiveness, and sustainability.
•Develop pre-deployment audit plans and establish QA/commissioning processes for power, cooling, rack/server integration, telemetry, and control systems.
•Oversee construction, integration, and bring-up with contractors, OEMs, service providers, and customers; mentor teams and drive continuous improvement.

Travel: Medium travel

Key Requirements

•Bachelor’s degree in Engineering, Computer Science, Information Technology, or related field (advanced degree/equivalent experience/certifications preferred).
•8+ years of experience in enterprise and/or hyperscale data centers with a focus on MEP design, construction, and deployment for high-density AI/HPC or mission-critical environments.
•Proven data center engineering, operations, or infrastructure management experience with responsibility for large-scale deployments and cross-functional coordination.
•Strong technical knowledge of data center power, cooling, controls/monitoring, and structured cabling for high-density deployments.
•Strong analytical/problem-solving skills and ability to lead complex programs from design through commissioning and hand-off.

Experience:8+ yearsEnterprise data centersHyperscale data centersAI/HPC

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingCommunicationInterpersonal skillsOrganization

Certifications:BICSICNCDPFOA Data Center – CFOS/DC (Certified Fiber Optics Specialist, Datacenter)

Tech Stack:Power distributionUPSSwitchgearPDUsRack powerLiquid coolingAir coolingChillersCDUCRAHCRACDirect-to-chipImmersionStructured cablingNetwork/cabling architectureTelemetryControl systems

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