Director, Networking

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🕒 April 2

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Gruve

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2024

🤖 Artificial Intelligence

🔒 Cybersecurity

🏢 Enterprise

Artificial Intelligence • Cybersecurity • Enterprise

Gruve is an enterprise technology company that designs, builds, and operates AI-ready data center networks and delivers AI-driven solutions for businesses. The company provides Enterprise AI services (including LLM and advanced analytics deployments), AI infrastructure and GPU-rich compute environments, network automation, cybersecurity advisory and managed security services, and workload migration and platform modernization. Gruve positions itself as a provider of AI teammates, customer experience automation, and applied data strategy to help large organizations adopt and scale AI securely.

📋 Description

• Define and drive the end-to-end networking strategy for AI inference data centers, including fabric design, topology, and technology selection • Architect high-performance, low-latency, and scalable network fabrics optimized for AI inference workloads (Ethernet, RDMA/RoCE, and emerging interconnects) • Evaluate and incorporate next-generation technologies (e.g., 400G/800G+, SmartNICs/DPUs, CXL, SONiC, Ultra Ethernet) into future-ready designs • Develop reference architectures, validated designs, and best practices for large-scale AI clusters and inference environments • Partner with engineering, product management, and infrastructure teams to align roadmap with business and customer needs • Influence industry direction through standards bodies, ecosystem partnerships, and technology evaluations • Serve as a trusted advisor and technical leader to customers designing and deploying AI inference infrastructure • Lead solution design, requirements gathering, and architecture reviews for enterprise and hyperscale customers • Present technical strategies and architectures to executive and technical stakeholders • Translate complex networking and AI infrastructure concepts into clear business value and deployment guidance • Support go-to-market efforts through customer engagements, workshops, and field enablement • Drive adoption by helping customers bridge the gap between early-stage innovation and production deployment.

🎯 Requirements

• 12+ years of experience in data center networking, with deep expertise in large-scale fabric design • Proven experience architecting high-performance networks for AI/ML, HPC, or cloud infrastructure environments • Strong expertise in Ethernet-based fabrics, TCP/IP, RDMA/RoCE, and modern Clos architectures • Experience with AI infrastructure components such as GPUs, DPUs/SmartNICs, and high-speed interconnects • Demonstrated ability to define technical strategy and influence product or infrastructure roadmaps • Significant customer-facing experience in solution architecture, technical sales, or consulting roles • Strong communication and presentation skills, including executive-level engagement.

🏖️ Benefits

• Benefits • Equity