NVIDIA

3 months ago

Manager, Solutions Architecture - Continuous Bringup and Optimization

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Lead the NVIDIA Infrastructure Specialist Team to continuously bring up and optimize AI factory infrastructures. Engage with customers, partners, and internal teams to analyze, define, and implement large-scale GPU-accelerated, data-center projects. Serve as a technical authority on NVIDIA GPU/CPU/networking, develop optimization and monitoring methodologies, and drive incident reviews to improve reliability and performance at scale.

Location: Tokyo

Workplace: Hybrid

Employment Type: Full time

Job Function: Architecture & Urban Planning

Key Responsibilities

•Lead a team dedicated to consulting, optimizing, and improving the resiliency of customer AI factory infrastructures, ensuring high service quality and operational perfection.
•Drive hands-on infrastructure analysis and tuning of complex GPU-accelerated systems, AI workloads, and datacenter environments, identifying areas for efficiency gains and operational improvements.
•Work closely with internal teams (Engineering, Product, Sales) and customer collaborators to align infrastructure strategies with business goals, enabling smooth, scalable AI deployments.
•Act as a technical authority on NVIDIA GPU, CPU and networking technologies, supporting customer discussions, architecture reviews.
•Establishing and evolving optimization and monitoring methodologies, using analytics and tooling to detect bottlenecks, reduce downtime, and ensure system health at scale.

Key Requirements

•Over 4 years leading teams and 8+ years in service operations in large data centers, focusing on infrastructure performance.

Experience:4+ yearsAI infrastructureData centersHPCGPUCloud computing

Education:Master's

Skills:LeadershipCommunicationProblem-solvingInterpersonalTime management

Languages:JapaneseEnglish

Tech Stack:GPUCPUNetworkingLinuxDockerKubernetesAIHPCDatacenter

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 months ago

Manager, Solutions Architecture - Continuous Bringup and Optimization

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Hybrid

Employment Type: Full time

Job Function: Architecture & Urban Planning

Key Responsibilities

•Lead a team dedicated to consulting, optimizing, and improving the resiliency of customer AI factory infrastructures, ensuring high service quality and operational perfection.
•Drive hands-on infrastructure analysis and tuning of complex GPU-accelerated systems, AI workloads, and datacenter environments, identifying areas for efficiency gains and operational improvements.
•Work closely with internal teams (Engineering, Product, Sales) and customer collaborators to align infrastructure strategies with business goals, enabling smooth, scalable AI deployments.
•Act as a technical authority on NVIDIA GPU, CPU and networking technologies, supporting customer discussions, architecture reviews.
•Establishing and evolving optimization and monitoring methodologies, using analytics and tooling to detect bottlenecks, reduce downtime, and ensure system health at scale.

Key Requirements

•Over 4 years leading teams and 8+ years in service operations in large data centers, focusing on infrastructure performance.

Experience:4+ yearsAI infrastructureData centersHPCGPUCloud computing

Education:Master's

Skills:LeadershipCommunicationProblem-solvingInterpersonalTime management

Languages:JapaneseEnglish

Tech Stack:GPUCPUNetworkingLinuxDockerKubernetesAIHPCDatacenter

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