[Remote] Director, Networking
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
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