NVIDIA Corporation

Principal Network Automation Engineer

NVIDIA Corporation$248K — $396K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent in a relevant field.
  • 15+ years in network/infrastructure engineering; 7+ years in network automation.
  • Strong proficiency in Python and Golang; familiarity with YAML, Bash, and JavaScript is advantageous.
  • Experience delivering large-scale network automation using IaC and APIs.
  • Hands-on experience with DCIM/IPAM platforms and model data integration.
  • Expertise in building configuration generation pipelines with frameworks like Jinja2 and Ansible.
  • Solid understanding of networking fundamentals and experience with multi-vendor environments.

Responsibilities

  • Lead the design and implementation of network automation platforms.
  • Develop automation workflows driven by authoritative network data models.
  • Create and maintain scalable data models for various network components.
  • Generate deployment artifacts from network models for streamlined deployment.
  • Establish configuration generation pipelines from model data using IaC patterns.
  • Implement provisioning, onboarding, and zero-touch provisioning workflows.
  • Design automated validation and health-check tools integrated with CI/CD systems.
  • Mentor engineers by setting technology standards across teams.

Benefits

  • Opportunities to work with cutting-edge technologies in AI and computing.
  • A diverse and supportive work environment that values innovative contribution.
  • Eligibility for equity and a comprehensive range of employee benefits.
Full Job Description
We are seeking a highly skilled Principal AI/ML Engineer to join our dynamic team to build the next generation of IT Networking space and help lead the team through a major technology transformation into running AI on-prem and build infrastructure by integrating Enterprise ready platforms while building a solid foundation with automation. We are looking for a passionate engineer who will solve networking problems with AI.

What You'll Be Doing:
  • Lead architecture, design, and implementation of network automation platforms across datacenter, cloud, campus, and enterprise environments.
  • Build source-of-truth-driven automation workflows using in-house platforms and authoritative network data models.
  • Design and maintain scalable data models for sites, fabrics, roles, interfaces, addressing, and deployment intent.
  • Generate intent-based deployment artifacts (cutsheets, cable matrices, rack elevations, port maps, deployment docs) from network models.
  • Build configuration generation pipelines using templating + IaC patterns to render device/service configs from model data.
  • Develop multi-vendor provisioning, onboarding, and ZTP workflows for network platforms and services.
  • Create automated validation/health-check tooling (pre/post checks, compliance, readiness) and integrate with CI/CD and ops systems.
  • Collaborate cross-functionally and provide technical leadership by setting standards (reliability, security, testability, docs) and mentoring engineers.


What We Need to See:
  • Bachelor's degree (or equivalent experience) in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or related field.
  • 15+ years in network/infrastructure engineering, including 7+ years building production-grade network automation.
  • Strong software engineering skills in Python and Golang (required); YAML, Bash, JavaScript experience is a plus.
  • Proven ability to design and 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), including data modeling and API integration.
  • Experience building config generation pipelines using templating/automation frameworks (e.g., Jinja2, Ansible).
  • Strong experience with Terraform/Ansible (or similar), including reusable modules, versioned workflows, and pipeline integration.
  • Deep understanding of datacenter networking fundamentals: TCP/IP, switching/routing, BGP, EVPN/VXLAN.
  • Experience across multi-vendor network platforms/NOS (e.g., NVIDIA/Mellanox, Arista, Cisco, Juniper) and automating via REST/CLI with secure access patterns.
  • Strong DevOps mindset: CI/CD (Jenkins/GitLab), ZTP/onboarding, automated validation/compliance/health checks, strong Linux fundamentals, and clear cross-functional communication/ownership.


Ways to Stand Out From the Crowd:
  • Proven automation experience generating deployment artifacts from modeled intent (cutsheets, cable matrices, rack elevations, port mappings).
  • Experience with large-scale datacenter fabrics, including AI/ML infrastructure, GPU cluster networking, and HPC environments.
  • Cloud and hybrid networking expertise across Google Cloud, Azure, and Oracle Cloud, including cloud exchange/DCI providers (e.g., Equinix).
  • Broad multi-vendor platform experience (Arista, Cumulus, Cisco, Palo Alto, load balancers) plus observability integration (Prometheus/Grafana) tied into automation/validation workflows.
  • Strong platform engineering maturity: Kubernetes/containerization and Containerlab-based testing, principal-level architecture/standards/reuse, and operational documentation via Confluence/Jira/ServiceNow.


#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 396,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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