Senior Solutions Architect, AI/HPC Networking

About the position

DriveNets is a leader in cloud-native networking software for hyperscalers and service providers who are building the largest infrastructures in the world for network services, AI platforms, and SaaS offerings. Founded in December 2015, DriveNets disrupted some of the most challenging high-scale markets, transforming the way Networks are built, scaled, and consumed. We also built the largest network in the world, with more than half of AT&T's backbone running on DriveNets' Network Cloud. DriveNets has raised $587 million in three funding rounds, enabling us to dream big and bring on the most talented people. We seek smart doers who want to make an impact and are experienced in Service provider networking solutions.

Responsibilities

• Provide technical leadership and support engagements with new and existing customers and partners.
• Partner with Sales Account Managers and SDRs to identify and secure business opportunities for DriveNets products and solutions.
• Proactively partner with Drivenets Account Managers to understand and solve customer challenges, conduct whiteboard network architectural sessions, and Drivenets product presentations.
• Assist in developing sales strategies and proposals.
• Create awareness and drive preference for Drivenets products & solutions with our customers and channel partners.
• Build meaningful relationships with technical decision-makers.
• Influence at the client's executive level (VP, CxO) on the proposed solution and relevant execution approach/strategy in line with the business priorities and timeline.
• Architect, design, and propose Drivenets Data Center, Routing & Switching network solutions to help generate new or additional sales.
• Create design guidelines and recommend improvements to customers for the networks and AI/HPC workloads they support.
• Analyze and develop solutions for customer performance issues for both AI workload and systems performance.
• Interpret the client's business needs and their translation to technology/architecture, assess full requirements, identify suitable solutions, and develop a transition/evolution strategy.
• Be the go-to technical resource for customers building sophisticated AI infrastructure and helping them understand performance characteristics for solutions.
• Lead technical responses to RFP/RFQs.
• Lead and guide the technical internal infrastructure services team in planning and executing POCs, as well as delivery and deployment, following the solution/design, scope of work, and completion target.
• Lead customer feature requests from customer requirements to implementation to deployment, working with Drivenets' Product Management team and development teams, and provide customer feedback to Product Management and Development teams.
• Represent Drivenets at industry events and conferences.
• Author white papers, blogs, and articles on technology and products.

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.

Nice-to-haves

• 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.