Senior Staff Network Automation Engineer

NVIDIA
Santa Clara
Workplace: HybridFull timeUSD 208,000 - 333,500 annuallyFunction: QA, Test & Release EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Technical leadership","Standards setting","Mentoring","Clear communication"]

Design and implement network automation platforms spanning datacenter, cloud, campus, and enterprise environments. Build source-of-truth-driven workflows and scalable data models, then generate intent-based deployment artifacts and configuration pipelines using IaC and templating. Own multi-vendor provisioning, ZTP/onboarding, and automated validation/health checks integrated with CI/CD and ops systems, while mentoring engineers and setting standards for reliability, security, testability, and documentation.

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FursaFursa
NVIDIA
NVIDIA
16 hours ago

Senior Staff Network Automation Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design and implement network automation platforms spanning datacenter, cloud, campus, and enterprise environments. Build source-of-truth-driven workflows and scalable data models, then generate intent-based deployment artifacts and configuration pipelines using IaC and templating. Own multi-vendor provisioning, ZTP/onboarding, and automated validation/health checks integrated with CI/CD and ops systems, while mentoring engineers and setting standards for reliability, security, testability, and documentation.
Location: Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead architecture, design, and implementation of network automation platforms across datacenter, cloud, campus, and enterprise environments.
  • •Develop source-of-truth-driven automation workflows and scalable network data models for sites, fabrics, roles, interfaces, addressing, and deployment intent.
  • •Generate intent-based deployment artifacts and build configuration generation pipelines using templating and IaC patterns.
  • •Deliver multi-vendor provisioning, onboarding, and ZTP workflows for network platforms and services.
  • •Create automated validation and health-check tooling, integrate with CI/CD and ops systems, and mentor engineers while setting reliability, security, testability, and documentation standards.

Pay and Benefits

Salary: USD 208,000 - 333,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Bachelor’s degree (or equivalent experience) in computer science, computer engineering, electrical engineering, information systems, or a related field.
  • •12+ years in network/infrastructure engineering, including 7+ years building production-grade network automation.
  • •Strong software engineering skills in Python and Golang; YAML and Bash experience is a plus.
  • •Proven ability to deliver large-scale network automation using IaC and API-driven approaches.
  • •Hands-on experience with DCIM/IPAM/source-of-truth platforms (e.g., Nautobot/NetBox) plus automation frameworks such as Jinja2/Ansible and Terraform/Ansible with reusable modules and pipeline integration.
Experience:12+ yearsDatacenter networkingNetwork automationDevOpsAI/ML infrastructureHPC
Education:Bachelor's
Skills:Cross-functional collaborationTechnical leadershipStandards settingMentoringClear communication
Tech Stack:PythonGolangYAMLBashJavaScriptIaCAPIDCIMIPAMNautobotNetBoxJinja2AnsibleTerraformTemplatingMulti-vendorRESTCLISecure accessCI/CD

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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