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Data Center Network Jobs (NOW HIRING)

Garmin Ltd.

Lead Data Center Network Engineer

Olathe, KS · On-site

$98K - $135K/yr

Overview We are seeking a full-time Lead Data Center Network Engineer (Cisco ACI) at Garmin's headquarters in Olathe, Kansas . In this role, you will serve as the technical leader for Garmin's global ...

RYZ Labs

Data Center Network Engineer

RYZ Labs is hiring for a Data Center Network Engineer to design, implement, and operate high-availability network fabrics. Experience with spine-leaf, BGP/EVPN/VXLAN preferred. On-call rotation ...

SPAN

Data Center Network Architect

San Francisco, CA · On-site

$175K - $230K/yr

... network engineering experience, or equivalent demonstrated expertise, including ownership of production architecture and hands-on implementation. * Strong experience with both data center networks ...

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As of Sep 14, 2026, the average yearly pay for data center network in the United States is $133,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $146,000.00 per year, depending on experience, location, and employer.

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Network Data Center Architect

Dallas, TX • On-site

Texas Instruments
Semiconductor and Electronic Component Manufacturing • 10K+ employees
Learn more about Texas Instrumentsexternal

Full-time

Re-posted 24 days ago

Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

Job description


Change the world. Love your job.
We are seeking a Network Data Center Architect to design, build, and evolve scalable, resilient, and highly automated data center network architectures that enable private cloud and hybrid cloud platforms. This is a senior individual contributor role responsible for defining technical direction, architecture standards, and hands-on engineering solutions across modern, multi-vendor data center environments.
The ideal candidate is a deep technical expert in large-scale data center networking, with strong experience supporting AI-driven workloads, GPU-based platforms, and cloud-like infrastructure, and a proven track record in automation and Infrastructure as Code, including leadership in Arista-based environments.
Key Responsibilities
Data Center & Network Architecture
  • Architect and standardize modern data center network designs optimized for scale, resiliency, and performance.
  • Design Layer 2 and Layer 3 architectures leveraging EVPN/VXLAN for multi-tenant, cloud-ready environments.
  • Lead architecture decisions in a multi-vendor network ecosystem, with strong emphasis on Arista Networks platforms.
  • Develop reference architectures, design patterns, and technical standards aligned with Arista Validated Designs (AVD) and enterprise best practices.

Arista Platforms & Multi-Vendor Networking
  • Serve as a technical authority for Arista EOS-based data center fabrics, while integrating with other vendors as required.
  • Design and operate network fabrics using Arista CloudVision (CVP) for centralized management, telemetry, and lifecycle operations.
  • Leverage AVD to drive consistent, repeatable, and automated fabric deployments.
  • Evaluate and integrate Arista solutions within a broader multi-vendor strategy to avoid lock-in while maximizing operational efficiency.

AI, GPU & High-Performance Workload Enablement
  • Design network fabrics capable of supporting AI/ML training and inference workloads, including large-scale GPU clusters.
  • Optimize east-west traffic, bandwidth, and latency for GPU fabrics and distributed compute platforms.
  • Support architectures requiring high throughput, deterministic performance, and scalable growth.
  • Collaborate with compute and platform teams to align network design with AI and GPU workload requirements.

Private Cloud & Hybrid Enablement
  • Enable network architectures that support private cloud platforms and cloud-like self-service consumption.
  • Integrate networking into virtualization, container, and platform environments.
  • Support secure and scalable hybrid connectivity between private data centers and public cloud environments.
  • Ensure designs align with segmentation, Zero Trust networking, and security best practices.

Automation & Infrastructure as Code
  • Drive automation-first networking, minimizing manual configuration and operational risk.
  • Design and implement Infrastructure as Code (IaC) solutions using Python, Terraform, Ansible, AVD, or similar frameworks.
  • Build reusable automation modules, pipelines, and workflows for network provisioning and lifecycle management.
  • Promote declarative, version-controlled network operations across teams.

Observability & AI-Driven Operations
  • Define and implement advanced network observability strategies, including streaming telemetry, flow data, logs, and metrics.
  • Utilize Arista CloudVision telemetry and AI/ML-driven analytics platforms to detect anomalies, predict failures, and optimize performance.
  • Integrate network observability into broader SRE and platform monitoring ecosystems.
  • Use data-driven insights to improve reliability, capacity planning, and incident response.

Engineering Excellence & Collaboration
  • Act as a technical authority and architectural advisor for data center networking initiatives.
  • Review designs, influence standards, and mentor engineers (without direct people management).
  • Partner closely with cloud, SRE, security, and application teams.
  • Participate in complex incident analysis and long-term architectural remediation.

Qualifications
Minimum Requirements
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • 8+ years of experience in data center networking or infrastructure engineering.

Preferred Qualifications
  • Deep expertise in EVPN/VXLAN-based architectures and large-scale routed fabrics.
  • Strong hands-on experience with Arista EOS, CloudVision (CVP, CVaaS), and AVD.
  • Experience designing networks for private cloud, AI, GPU, or high-performance computing environments.
  • Proven experience with automation and Infrastructure as Code (Python, Terraform, Ansible, AVD, or equivalent).
  • Strong understanding of BGP, routing at scale, network segmentation, and resiliency patterns.
  • Experience designing or operating GPU fabrics or AI platforms at scale.
  • Familiarity with lossless networking, RDMA, or high-bandwidth fabrics.
  • Experience supporting Kubernetes, OpenShift, or cloud-native platforms.
  • Hands-on experience with network telemetry and AI-driven observability tools.
  • Experience integrating Arista platforms within multi-vendor data center environments.
  • Strong documentation and architecture-review skills.

About Us
Why TI?
  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
About the Team
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

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About Texas Instruments

Sourced by ZipRecruiter

As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Industry

Semiconductor and electronic component manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1930

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