we are seeking a Group Lead for its Infrastructure Services (DIS) team to be a key member of our customer-facing technical organization. Join a dynamic and forward-thinking company at the forefront of AI infrastructure. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional compute performance. Collaborate with the industry's best as we partner with hyperscalers, emerging NeoClouds, and enterprises building large-scale AI/HPC clusters, shaping the future of disaggregated AI networking and compute infrastructure. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact while leading a high-performing team on groundbreaking deployments.
As Group Lead for DIS, you will manage and develop a team of Solution Engineers and Solutions Architects responsible for designing, deploying, and optimizing our company's AI/HPC infrastructure solutions at customer sites. You will provide technical leadership across the full customer lifecycle - from pre-sales architecture and POC execution through deployment, performance benchmarking, and ongoing operations. You will work cross-functionally with Sales, Product Management, and Engineering to ensure customer success, drive product feedback, and continuously raise the bar for technical delivery quality across the team.
Responsibilities
Lead and develop the DIS team - a group of Solution Engineers and Solutions Architects - setting technical direction, managing execution, and fostering a culture of ownership, learning, and customer focus.
Oversee end-to-end customer engagement for DIS - from pre-sales technical support and solution architecture through POC planning, deployment execution, and post-deployment operations.
Serve as the senior technical escalation point for customer infrastructure challenges, including AI cluster performance issues, networking design trade-offs, and operational reliability concerns.
Partner with Sales Account Managers to support business opportunities, lead technical responses to RFP/RFQs, and influence technical decision-makers at the VP and CxO level.
Guide the team in conducting performance benchmarking activities - including NCCL/RCCL, RDMA, and LLM benchmarks - and ensure results are translated into actionable product and deployment insights.
Work with Product Management and Engineering to funnel customer requirements, field observations, and performance data into the product roadmap and development backlog.
Define and drive internal processes for deployment planning, operational readiness, monitoring standards, and technical documentation across the DIS team.
Build and maintain relationships with compute, NIC, and storage partners to support joint POCs, reference deployments, and solution validation.
Represent our company at industry events and conferences, and contribute to external technical content including white papers, blogs, and design guides.
Recruit, mentor, and grow team members, and establish clear performance goals aligned with business objectives.
דרישות:
What we need to see:
10+ years of experience in AI/HPC infrastructure, data center networking, or solutions architecture, with at least 2-3 years in a technical leadership or team lead capacity.
Hands-on technical depth across both compute infrastructure (GPU clusters, Linux systems, AI workloads) and data center networking (routing, switching, fabric design), with the ability to engage credibly across both disciplines.
Proven experience leading customer-facing technical teams through complex deployment and POC cycles in AI/HPC or data center environments.
Strong understanding of AI cluster architecture - including GPU platforms (NVIDIA, AMD), RDMA networking, storage connectivity, and the interaction between compute, network, and storage layers.
Experience with performance benchmarking methodologies (NCCL/RCCL, RDMA, LLM workloads) and the ability to interpret a המשרה מיועדת לנשים ולגברים כאחד.