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techroles

Network Software Engineer, Automation and Intelligence

NVIDIA nvidia.com Open
US, CA, Santa Clara Full-time Mid-level Software Engineering

At a glance

Mid-level Software Engineering role at NVIDIA. US, CA, Santa Clara · full-time · $208,000–$333,500 base.

SalaryStated by NVIDIA
$208,000 – $333,500
Base salary for this role, in USD per year, as published in the posting.
RoleSoftware Engineering
SeniorityMid-level
LocationUS, CA, Santa Clara
EmploymentFull-time
Base pay$208,000–$333,500
PostedOct 30, 2026
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Build network automation for new deployments, covering provisioning, configuration creation, validation and operations handoff
  • Keep production networks healthy through automated changes, health checks, drift discovery and incident response
  • Maintain the automation foundations, including source-of-truth data, CI/CD, orchestration and observability connections
  • Develop AI-based network tools that can progress from investigation to guarded changes with validation, rollback and audit records
  • Work with network, compute, storage and facilities teams, while documenting practices and helping engineers contribute

What you bring

  • A graduate degree in computer science, engineering or a related area, or equivalent experience
  • At least twelve years in network engineering or network software, spanning deployment work and production operations
  • Practical automation experience with Python, Ansible, network APIs and Git-based workflows
  • Strong routing, switching and network architecture skills, including BGP, OSPF, EVPN/VXLAN and MLAG

Who this fits

This role suits an experienced network engineer who can build automation and support live infrastructure across data centers, offices, manufacturing sites and labs. You’ll work across technical teams and help other engineers extend the automation work. The stated experience threshold is substantially senior despite the mid-level role label.

From the employer

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!


Are you ready to develop the future of brand new AI computing? Join NVIDIA's Network Automation & Intelligence Platforms team as a Network Software Engineer, Automation & Intelligence. Here, you’ll have the outstanding opportunity to build and operate innovative network automation systems across corporate offices, campuses, HPC data centers, contract manufacturing sites, and labs. Using NVIDIA's extensive global infrastructure, you will help us push the boundaries of what’s possible with AI and network automation!


What you'll be doing:

  • Build and deploy: Design and implement network automation for new builds and bring-ups, from zero-touch provisioning and config generation to validation and handoff to operations.
  • Operate in production: Support live networks with automated change execution, health checks, drift detection, and incident triage. Find and fix issues before they affect service levels.
  • Own the platform stack: Contribute to the source of truth, CI/CD pipelines, orchestration, and observability integrations that automation depends on.
  • Integrate AI thoughtfully: Build LLM- and agent-based network tooling that moves from read-only investigation to autonomous, self-validating change execution as each change class proves safe, with rollback, scoped boundaries, and full audit trails.
  • Work across teams: Partner with network, compute, storage, and facilities teams to turn operational difficulties into reliable, reusable software.
  • Scale automation across the team: Document, mentor, and enable other engineers to contribute to automation beyond the core team.

What we need to see:

  • MS in Computer Science, Engineering, or a related field, or equivalent experience.
  • 12+ years of experience in network engineering or network software, with experience in both build and production operations.
  • Hands-on network automation experience, such as Python, Ansible, REST/gNMI/NETCONF APIs, and Git-based workflows.
  • Solid grounding in routing, switching, and network architecture, including BGP, OSPF, EVPN/VXLAN, and MLAG.
  • Experience with multi-vendor environments (Arista, Cisco, Cumulus/NVIDIA, Palo Alto, and similar).
  • Strong problem-solving abilities and a history of managing complex projects from start to finish.

Ways to stand out from the crowd:

  • Experience implementing LLM or agent-based tooling in operations with robust oversight, including read-only restrictions, approval processes, and audit logs. Working knowledge of agent frameworks, MCP, RAG, and applying ML to telemetry or capacity analysis.
  • Familiarity with incident management and change platforms (BigPanda, ServiceNow) and source-of-truth tooling (Nautobot, NetBox).
  • Background in cybersecurity and network security practices.
  • Experience with large-scale GPU/AI fabrics, InfiniBand, RoCE, or other high-performance networks.
  • Clear communication skills and a focus on maintaining an inclusive, collaborative team culture.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 208,000 USD – 333,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Software Engineering$200k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.