Senior Network Automation Architect - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Deep knowledge of Kubernetes networking (CNI, services, ingress, eBPF) and service meshes (Istio, Linkerd, Consul)
Strong background in network security, firewalling, routing, and containerized environments
Hands-on experience with IaC and automation tools (Terraform, Ansible, Pulumi), GitOps tooling (ArgoCD, Flux), and CI/CD systems
Proficiency in Python, Go, or Bash, with experience building API-driven integrations (REST, gRPC)
Familiarity with Kubernetes lifecycle management and provisioning tools (CAPI, kubeadm, kops, Rancher, OpenShift, bare metal)
Experience with observability and tracing stacks (Prometheus, Grafana, ELK/EFK, Jaeger, OpenTelemetry)
8+ years in network engineering and automation development
3+ years of experience with Kubernetes platform engineering
Bachelor's degree or equivalent experience

Responsibilities

Design scalable, secure, and repeatable automation for Kubernetes cluster provisioning and network configuration across multi-cloud, on-prem, and hybrid environments
Build Infrastructure-as-Code templates, automation pipelines, and CI/CD integrations to streamline provisioning and connectivity
Automate networking integrations including CNI plugins, service meshes, load balancers, and ingress controllers
Implement policies, firewalling, routing, and self-service provisioning through API-driven workflows
Deliver observability with monitoring, logging, alerting, and self-healing workflows to improve resilience and performance
Act as the technical authority for network automation, mentoring teams and driving cross-functional automation maturity

Skills

Key technologies and capabilities for this role

KubernetesCNIeBPFIstioLinkerdConsulTerraformAnsiblePulumiArgoCDFluxPythonGoBashRESTgRPC

Questions & Answers

Common questions about this position

What experience level is required for this Senior Network Automation Architect role?

The role requires 8+ years in network engineering and automation development, plus 3+ years of experience with Kubernetes platform engineering.

What key technical skills are needed for this position?

Candidates need deep knowledge of Kubernetes networking (CNI, services, ingress, eBPF) and service meshes (Istio, Linkerd, Consul), hands-on experience with IaC tools like Terraform, Ansible, Pulumi, GitOps tooling (ArgoCD, Flux), CI/CD systems, and proficiency in Python, Go, or Bash.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Stand out with a proven track record of crafting and delivering automated provisioning solutions at scale, experience with multi-cloud networking (AWS VPC, Azure VNet, GCP VPC), excellent architecture documentation and interpersonal skills, and the ability to lead cross-functional technical initiatives.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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