Senior Data Center Network Architect
Location: Dallas, Texas, United States; Edison, New Jersey, United States; Redwood City, California, United States
Department: CAISS
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About the Role
Gruve is seeking a highly skilled Senior Data Center Network Architect with 5+ years of experience designing, implementing, and optimizing modern data center networks supporting AI workloads. This is a deeply technical, customer-facing role aligned with Gruve’s AI-driven infrastructure solutions.
The ideal candidate will have strong expertise in Cisco data center ecosystems, advanced AI network topology design, and high-performance fabrics that support large-scale training and inference environments.
Key Responsibilities
-
Lead architecture, design, and deployment of AI-optimized data center networks, including:
-
Converged-rail, rail-optimized, and Dragonfly topologies
-
High-performance fabrics supporting RDMA, RoCEv2, and GPU-dense cluster interconnects
-
Networks supporting AI training and inference clusters
-
- Architect and implement Cisco-centric data center solutions (Nexus, ACI, UCS, NX-OS, etc.)
- Design scalable routing architectures using BGP, OSPF, EVPN, and related protocols
- Provide expert-level troubleshooting and network performance optimization
- Serve as a customer-facing technical leader—translating requirements into architectures
- Collaborate with AI Solutions, Platform Engineering, and customer technical leadership
- Create high-quality design documents, diagrams, and technical recommendations
Basic Qualifications
- 5+ years in enterprise or hyperscale data center networking
- Hands-on experience designing and implementing:
-
AI network topologies: Dragonfly, converged-rail, and rail-optimized fabrics
-
RDMA, RoCEv2, congestion control, lossless Ethernet
-
Spine-leaf architectures, 100/200/400/800G fabric design
-
Cisco data center solutions (Nexus series, ACI, NDFC/NDO, UCS networking)
-
-
Deep understanding of:
-
BGP, OSPF, multihoming, overlay networks, VXLAN/EVPN
-
Network QoS, buffering, scheduling, ECMP, telemetry
-
- Hands-on experience with network troubleshooting tools (packet capture, latency analysis)
- CCNP Data Center or equivalent certification
Preferred Qualifications
- Experience with AI/ML workload patterns, GPU cluster behavior, and model training pipelines
- Automation experience: Python, Ansible, Terraform, Cisco DCNM/NDFC automation
- Familiarity with monitoring/observability tools: Prometheus, Grafana, ThousandEyes, Cisco Nexus Dashboard Insights
- Experience with multisite architectures, inter-DC fabrics, and L3 stretch patterns
- Exposure to cloud networking (AWS, Azure, GCP) aligned to hybrid AI environments
- Linux systems experience (kernel networking, tuning, NIC offloads)
- Experience with HPC, InfiniBand, or large-scale distributed training platforms
- Familiarity with AI accelerators (NVIDIA H100, B-series GPUs) and cluster topology tuning
- Experience writing SOWs, proposals, or participating in pre-sales architectures
- Excellent communication—able to explain complex concepts to executives and engineers
- Strong customer-facing presence: workshops, architecture reviews, executive briefings
- Ability to lead architectural decisions and drive technical consensus
- Certifications: CCIE Data Center or equivalent highly preferred
Salary Range
$190,000 - $225,000 + Benefits
This is a full-time opportunity with Gruve, offering the flexibility to work from any of Gruve’s office locations: Redwood City, California; Plano, Dallas; or Edison, New Jersey. Please note that this is an on-site role.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say