Principal Technologist – AI and Data Center Networking

🕒 August 11

🏈 North America – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 22%

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DriveNets

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201 - 500 employees

📡 Telecommunications

Telecommunications

DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are innovative networking solutions that apply the cloud architectural approach to high-scale networking, combining the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking. Founded by successful telco entrepreneurs Ido Susan and Hillel Kobrinsky, DriveNets offers the leading open disaggregated networking solution utilizing cloud-native software on standard white boxes. Their solutions are globally adopted by numerous service providers and are in various trials, significantly impacting network operations, including a substantial deployment with AT&T.

📋 Description

• Own the technical architecture for DriveNets' most complex and high-value customer opportunities spanning AI/HPC GPU fabric design and large-scale data center network infrastructure • Partner with Sales and Solutions Architects from early discovery through deal closure • Lead proof-of-concept design and execution, including success criteria, benchmarking plans, and communication of results • Engage with engineering leads, network architects, and C-level stakeholders at hyperscalers, NeoClouds, and large enterprises • Capture customer field insights and translate them into requirements for Product Management and Engineering • Define and publish architecture playbooks, reference designs, and best practices • Lead and mentor Solutions Architects and Solutions Engineers • Represent DriveNets at industry events and author white papers and technical blogs • Serve as a senior technical authority and thought leader in complex pre-sales cycles for AI networking and data center infrastructure

🎯 Requirements

• 12+ years of experience in data center networking architecture and design • At least 3 years focused on AI/HPC infrastructure or hyperscale environments • Extensive hands-on experience with large-scale switching and routing, including BGP, EVPN/VXLAN, QoS, PFC, ECN, NETCONF, YANG, and REST APIs • Proven senior pre-sales, solutions architecture, or system architecture experience influencing large, complex deals with VP and C-level stakeholders • Experience with x86 virtualization technologies, including DPDK, SR-IOV, and SmartNICs/DPUs • Experience leading technical responses to RFPs/RFQs and owning solution architecture documentation end-to-end • Experience with Python, APIs, and JSON for network operations and solution integration • Exceptional communication and presentation skills • Willingness to travel approximately 20% domestically and internationally • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field, or equivalent experience • Preferred/advantageous: RoCEv2, InfiniBand, GPU, NIC, DPU, NCCL/RCCL, NVLink, UALink, Enhanced Ethernet, UEC, Slurm, Kubernetes, Prometheus, Grafana, gNMI, OTLP, hyperscale data center operations, and CCIE/JNCIE or equivalent

🏖️ Benefits

• Opportunity to make a meaningful impact on multi-million-dollar customer engagements • Creativity, teamwork, and growth-oriented environment • Opportunity to collaborate with industry leaders • Approximately 20% domestic and international travel

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