Director, Networking

Remote, USA
Posted Jun 12, 2026
Full-time

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

We are seeking a Director, Networking to lead the strategy, architecture, and customer adoption of next-generation networking solutions for AI inference data centers. This role uniquely blends internal technical leadership with external customer engagement, with approximately 50% of time dedicated to defining and evolving network strategy, and 50% spent working directly with customers as a solution architect.

You will operate at the intersection of cutting-edge AI infrastructure and real-world deployment, translating emerging technologies into scalable, high-performance, and customer-ready solutions.

Key Responsibilities

Network Strategy & Architecture

  • 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



Customer-Facing Solution Architecture



  • 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

    Basic Qualifications

    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

    Preferred Qualifications

    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

    Salary Range

    $220,000 - $275,000 USD + Benefits + Equity

    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.

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