Senior Cloud Infrastructure Automation Solutions Architect

NVIDIA
Singapore
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Consulting","Interpersonal skills","Technical leadership","Customer engagement","Problem-solving"]

Join the NVIDIA Infrastructure Specialist Team as a senior cloud infrastructure automation solutions architect. You’ll advise on large-scale AI/compute infrastructure, covering orchestration and observability with Kubernetes, Linux, automation tooling, and performance tuning. Lead customer-facing technical engagements across interconnect/network validation, high-speed fabrics, runbook creation, and post-deployment reviews while shaping DevOps and platform architecture guidance. Build repeatable solutions for GPU-accelerated systems.

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FursaFursa
NVIDIA
NVIDIA
15 hours ago

Senior Cloud Infrastructure Automation Solutions Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Join the NVIDIA Infrastructure Specialist Team as a senior cloud infrastructure automation solutions architect. You’ll advise on large-scale AI/compute infrastructure, covering orchestration and observability with Kubernetes, Linux, automation tooling, and performance tuning. Lead customer-facing technical engagements across interconnect/network validation, high-speed fabrics, runbook creation, and post-deployment reviews while shaping DevOps and platform architecture guidance. Build repeatable solutions for GPU-accelerated systems.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Advise on and maintain large-scale AI/compute infrastructure, including monitoring, logging, and workload orchestration via Kubernetes and Linux job schedulers.
  • •Support interconnect and network validation for high-speed fabrics (InfiniBand/Ethernet), including link-health checks, topology validation, and resolution of link-level issues.
  • •Serve as technical lead for assigned accounts, providing strategic DevOps and platform architecture guidance and driving customer issue resolution.
  • •Develop and present runbooks, onboarding materials, and guides, and offer actionable insights into NVIDIA’s infrastructure roadmap.
  • •Lead post-deployment reviews and incident retrospectives to improve reliability and performance of GPU-accelerated systems.

Key Requirements

  • •BS/MS/PhD in Computer Science, Engineering, Physics, Mathematics, or related fields.
  • •5+ years managing scalable cloud environments and automation engineering.
  • •Hands-on experience with Linux (RedHat, Ubuntu), OS-level security, and HPC/AI infrastructure including CPUs/GPUs and high-speed interconnects.
  • •Experience with Kubernetes for container orchestration and GPU-accelerated workloads.
  • •Proficiency with Python/Bash scripting, automation tools (Ansible, Terraform), and observability stacks (Grafana, Loki, Prometheus).
Experience:5+ yearsHPCAICloudData centers
Education:
Skills:ConsultingInterpersonal skillsTechnical leadershipCustomer engagementProblem-solving
Languages:EnglishMandarin
Tech Stack:KubernetesLinuxRedHatUbuntuInfiniBandEthernetPythonBashAnsibleTerraformGrafanaLokiPrometheusCI/CDGPUCUDA toolkitRDMABase Command Manager (BCM)MonitoringLogging

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
Glassdoor: 4.3
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