Senior Solutions Engineer, AI/HPC Networking

Senior Solutions Engineer, AI/HPC Networking

• Product & Solutions Engineering
• Remote - North America
• Full-time
• Mid to Senior

Description

Location: US

WFH-Remote role with travel to customers

#LI-Remote

DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure.

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.
• 7+ years of network engineering (system/solution) experience.
• 7+ 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.