Network Data Center Engineer

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We are seeking a Network Data Center Engineer 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

* Desing, 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.

Why TI?

* The future starts here. As a TIer, you'll play a critical role in defining

the next era of semiconductor technology and help create the innovations that

shape the world around us.

* Surround yourself with a team of innovators who value your unique perspective

and will challenge you to bring your best self to work every day. We believe

that fostering a culture of collaboration fuels both personal growth and

technological breakthroughs. Explore our company culture

[https://careers.ti.com/en/sites/CX/pages/our-culture].

* At TI, your success goes beyond your work. Take advantage of comprehensive

benefits designed to support your total well-being at work and in life, from

competitive compensation to extensive health coverage and wellness programs.

Learn more about our benefits offerings

[https://careers.ti.com/en/sites/CX/pages/benefits].

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

[https://www.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.

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.