Senior DGX Cloud Automation Engineer

NVIDIA
Taiwan
Workplace: OnsiteFull timeFunction: QA, Test & Release EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving"]

Help build and improve DGX Cloud’s development and release processes that power AI “factories,” with a focus on CI/CD, release engineering tools, and on-prem and cloud deployments. Design and implement scalable PaaS/IaaS systems, develop automation for software release workflows, and collaborate across engineering, QA, and product teams to maintain and document service functionality.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior DGX Cloud Automation Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Help build and improve DGX Cloud’s development and release processes that power AI “factories,” with a focus on CI/CD, release engineering tools, and on-prem and cloud deployments. Design and implement scalable PaaS/IaaS systems, develop automation for software release workflows, and collaborate across engineering, QA, and product teams to maintain and document service functionality.
Location: Taiwan
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Build development and release processes for services used in AI Factories, maintaining high standards for CI/CD and release engineering tools.
  • •Design, build, and implement scalable cloud-based systems for PaaS/IaaS.
  • •Develop, maintain, and improve CI/CD tools for on-prem and cloud deployment of software.
  • •Collaborate with developers, QA, and Product teams to establish, refine, and streamline the software release process.
  • •Support, maintain, and document software functionality.

Key Requirements

  • •BS or MS in Computer Science or equivalent experience.
  • •5+ years of hands-on software engineering experience.
  • •Expertise in Kubernetes (K8s) and experience building RESTful web services.
  • •Experience with Docker and containers, plus Infrastructure as Code and CSPs (e.g., AWS services).
  • •Experience with CI/CD and strong interpersonal and written communication skills.
Experience:5+ yearsAICloudPaaS/IaaSCI/CD
Education:Bachelor's in Computer Science
Skills:CommunicationCollaborationProblem-solving
Tech Stack:KubernetesK8sRESTful web servicesDockerContainersInfrastructure as CodeAWSFargateEC2IAMECREKSRoute53CI/CDPaaSIaaSGoPythonFirecrackerKVM

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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