Note: The job is a remote job and is open to candidates in USA. Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. They are seeking a Director, Networking to lead the strategy, architecture, and customer adoption of next-generation networking solutions for AI inference data centers, blending technical leadership with customer engagement.

Responsibilities

• 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

Skills

• 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
• Experience with AI inference and training clusters, including GPU fabrics and storage networking
• Familiarity with SONiC, network automation (Terraform, Python), and zero-touch provisioning
• Knowledge of emerging technologies such as CXL, NVLink, and in-network computing
• Background in technical marketing, product management, or technology evangelism
• Experience speaking at industry events or contributing to thought leadership

Benefits

• Benefits
• Equity

Company Overview

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