Senior AI Networking Architect — Data Center Scale (Remote)

DriveNets Ltd.

Northern (KY)

Hybrid

USD 180,000 - 230,000

Full time

24 hours ago
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Job summary

DriveNets seeks a Principal Technologist to lead technical strategy in AI networking and data center infrastructure. You will guide Solution Architects and Sales in high-value opportunities, shaping architectures, and driving multi-million-dollar engagements.

Based in North America, you will travel ~20% and interact with hyperscalers, NeoClouds, and large enterprises, translating customer challenges into scalable, differentiated solutions.

Qualifications

  • Minimum 12+ years in data center networking architecture and design, with AI/HPC infra focus.
  • Hands-on experience with large-scale switching/routing and benchmarking.
  • Proven track record in senior pre-sales or solution architecture roles.
  • Experience with virtualization technologies (DPDK, SR-IOV, SmartNICs/DPUs).
  • Strong ability to influence C-level stakeholders and drive complex deals.

Responsibilities

  • Own the technical architecture for high-value AI/HPC data center opportunities.
  • Lead pre-sales engagement with hyperscalers, NeoClouds, and enterprises.
  • Drive PoC design, benchmarks, and results with rigorous communication.
  • Collaborate with Sales, Solutions Architects, and Engineering teams.
  • Publish architecture playbooks, reference designs, and best practices.

Skills

Data center networking
BGP
EVPN/VXLAN
Network automation
Python scripting
Executive communication
Travel willingness

Education

BS/MS/PhD in Electrical/Computer Engineering, CS, Physics

Tools

NETCONF
YANG
REST APIs
Prometheus
Grafana
gNMI

Job description

DriveNets seeks a Principal Technologist to lead technical strategy in AI networking and data center infrastructure. You will guide Solution Architects and Sales in high-value opportunities, shaping architectures, and driving multi-million-dollar engagements.

Based in North America, you will travel ~20% and interact with hyperscalers, NeoClouds, and large enterprises, translating customer challenges into scalable, differentiated solutions.

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