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 the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD.You will also be eligible for equity and benefits.
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.Skills Required
- Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience
- 12 or more years of experience in network engineering or network software, including network build and production operations
- Hands-on network automation experience with Python, Ansible, REST, gNMI, NETCONF, and Git-based workflows
- Knowledge of routing, switching, and network architecture, including BGP, OSPF, EVPN/VXLAN, and MLAG
- Experience working in multi-vendor network environments, including Arista, Cisco, Cumulus/NVIDIA, or Palo Alto
- Experience managing complex projects from start to finish
- Experience implementing LLM- or agent-based operations tooling with oversight, approvals, rollback controls, and audit logs
- Working knowledge of agent frameworks, MCP, RAG, and machine learning for telemetry or capacity analysis
- Familiarity with BigPanda, ServiceNow, Nautobot, or NetBox
- Background in cybersecurity and network security practices
- Experience with GPU/AI fabrics, InfiniBand, RoCE, or other high-performance networks
- Clear communication skills and an inclusive, collaborative working style
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
