Senior Solutions Engineer, AI/HPC Networking

What You’ll Be Doing Building robust AI/HPC infrastructure for new and existing customers. Technical hands‑on role in building and supporting NVIDIA/AMD based platforms. Support operational and reliability aspects of large‑scale AI clusters, focusing on performance at scale, training stability, real‑time monitoring, logging, and alerting. Administer Linux systems, ranging from powerful GPU enabled servers to general‑purpose compute systems. Design and plan rack layouts and network topologies to support customer requirements. Design and evaluate automation scripts for network operations, configuring server and switch fabrics. Perform Data Center upgrades and ensure smooth deployment of Drivenets solutions. Install and configure Drivenets products, ensuring optimal performance and customer satisfaction. Maintain services once they are live by measuring and monitoring availability, latency, and overall system health. Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement. Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements. Engage with sales teams and customers to ensure success with major opportunities and deployments. Introduce new products to the Drivenets’ sales and support teams and to Drivenets’ customers. Deliver technical trainings and TOIs for support/sales engineers, partners, and customers. Collaborate on product definition through customer requirement gathering and roadmap planning. Requirements BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience. 3+ years of network engineering (system/solution) experience. 3+ years of solution architecture/sales engineering experience, or equivalent, working for a vendor, value-added reseller, or system integrator. Technical expertise in Data Center or high‑end enterprise network design (e.g. BGP, EVPN, VXLAN, QoS, Multicast). Expertise with datacenter design, including networking, compute, and storage. Ability to write extensive technical content (white papers, technical briefs, etc.) for external audiences with a balance of technical accuracy, strategy, and clear messaging. Ability to multitask efficiently in a multifaceted environment, ability to work with teams across geographical locations. Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams. Ability to travel domestic and international up to 20% of the time. Be Kind Ways To Stand Out From The Crowd Familiarity with AI-relevant data center infrastructure and networking technologies such as: Infiniband, RoCEv2, lossless Ethernet technologies (PFC, ECN, etc.), accelerated computing, GPU, NIC, DPU, etc. Understanding of AI/HPC networking infrastructure solutions, their advantages and disadvantages (AI/HPC networking design, high‑speed interconnect technologies). Scale‑up – NVLink, UALink, etc. Scale‑out – Ethernet and Enhanced Ethernet (Scheduled Ethernet, dynamic load balancing and adaptive routing, Spectrum‑X, UEC, etc.), InfiniBand. Backend storage connectivity. Understanding of data center operations fundamentals in networking, cooling, and power. Familiarity with monitoring tools (e.g., Prometheus, Grafana, ELK Stack) and Telemetry (gRPC, gNMI, OTLP, etc.). Proven experience with one or more Tier‑1 Clouds (AWS, Azure, GCP, or OCI) or emerging Neoclouds, as well as cloud‑native architectures and software. More About DriveNets Based in Israel with locations in Romania, US, and Japan as well as extended teams, DriveNets operations cover more than 12 countries. With recognition by industry analysts and through numerous industry awards, DriveNets is pushing market momentum, allowing for faster service innovation from the network core to the edge. Visit our website: #J-18808-Ljbffr