Network Data Center Engineer

Texas Instruments•Dallas, TX

20h

About The Position

Texas Instruments is seeking a senior individual contributor to design, build, and evolve scalable, resilient, highly automated data center network architectures for private cloud and hybrid cloud platforms. The role defines technical direction and architecture standards and delivers hands-on engineering across modern, multi-vendor data center environments, with a particular emphasis on Arista-based networking. The engineer will develop and operate EVPN/VXLAN network fabrics, enable AI/ML and GPU workloads, integrate networking into private cloud and cloud-native platforms, and support secure hybrid connectivity. The role also drives Infrastructure as Code and automation, network observability, reliability improvements, and collaboration across cloud, SRE, security, application, compute, and platform teams. It provides technical leadership, design review, and mentorship without direct people management.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
At least 8 years of experience in data center networking or infrastructure engineering.

Nice To Haves

Deep expertise in EVPN/VXLAN-based architectures and large-scale routed fabrics.
Hands-on experience with Arista EOS, CloudVision (CVP, CVaaS), and AVD.
Experience designing networks for private cloud, AI, GPU, or high-performance computing environments.
Experience with automation and Infrastructure as Code, such as Python, Terraform, Ansible, or AVD.
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.

Responsibilities

Design, architect, and standardize data center network designs for scale, resiliency, and performance.
Design Layer 2 and Layer 3 architectures using EVPN/VXLAN for multi-tenant, cloud-ready environments.
Lead architecture decisions in a multi-vendor network ecosystem, emphasizing Arista platforms.
Develop reference architectures, design patterns, and technical standards aligned with Arista Validated Designs and enterprise best practices.
Serve as a technical authority for Arista EOS-based data center fabrics and integrate other vendors as needed.
Design and operate network fabrics using Arista CloudVision for centralized management, telemetry, and lifecycle operations.
Use AVD to drive consistent, repeatable, automated fabric deployments.
Evaluate and integrate Arista solutions into a broader multi-vendor strategy.
Design network fabrics for 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.
Enable network architectures for private cloud platforms and cloud-like self-service consumption.
Integrate networking into virtualization, container, and platform environments.
Support secure, scalable hybrid connectivity between private data centers and public cloud environments.
Align designs with segmentation, Zero Trust networking, and security best practices.
Drive automation-first networking to reduce manual configuration and operational risk.
Design and implement Infrastructure as Code 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.
Define and implement network observability strategies using streaming telemetry, flow data, logs, and metrics.
Use Arista CloudVision telemetry and AI/ML-driven analytics to detect anomalies, predict failures, and optimize performance.
Integrate network observability into broader SRE and platform monitoring ecosystems.
Apply data-driven insights to reliability, capacity planning, and incident response.
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 with cloud, SRE, security, and application teams.
Participate in complex incident analysis and long-term architectural remediation.