Description
#Remote
**Preference is given to those living in timezones- EST and CST**
Senior Solutions Architect, AI/HPC Networking
What you’ll be doing:
- 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
What we need to see:
- 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.
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.
