What youll be doing:
Team Leadership, Build and guide a team of senior Spectrum-X customer-facing architects. Set technical direction, own hiring and mentoring, and establish clear roadmap for customer early engagement, onboarding and tracking lifecycle.
Customer Architecture & Technical Ownership, Serve as the senior technical authority for Spectrum-X deployments at hyperscalers, national AI programs, and enterprise AI factories. Drive E2E solution adoption, lead sophisticated technical architecture issues in the solution, and guide customers through configuration, tuning, and performance debugging at the NIC, switch, and fabric level. Convey customer's needs, and lead strategic PoCs and benchmarks to demonstrate Spectrum-X advantages.
Product Feedback, Turn field findings and customer difficulties into concrete feedback for R&D, ASIC, and software teams while partnering with AI Networking Architecture to make sure our deployment realities shape next-gen Spectrum-X design.
Work with Product Management to influence reference architectures and go-to-market strategy and represent Spectrum-X at customer briefings and industry events such as SC, OCP, and Hot Interconnects
What we need to see:
BSc/MSc/PhD in Electrical/Computer Engineering, Computer Science, or a related engineering field from leading academic institute.
12+ overall years of experience in networking, solutions/field engineering, or network architecture related to data center operations
5+ years in management role.
Deep, hands-on expertise in data center fabric design: Clos/leaf-spine topologies, BGP, L2/L3 congestion signalling, datapath configurations, and L2/L3 switching at scale.
Proven understanding of RDMA networking: RoCE v2, InfiniBand semantics, congestion control (ECN/PFC/DCQCN), and the interaction between transport behavior and AI training communication patterns (all-reduce, all-to-all).
Proven experience with customer-facing technical roles – pre-sales architecture, field engineering, critical issues, or professional services – working with major hyperscalers or CSP accounts.
Demonstrated ability to lead distributed technical teams, set direction, and deliver results in ambiguous, fast-moving environments.
Excellent communication skills; ability to present to senior technical and executive collaborators.
Ways to stand out from the crowd:
Direct experience with NVIDIA Spectrum switches, ConnectX NICs, or BlueField DPUs in production or lab environments.
Familiarity with AI/ML training frameworks (PyTorch, NCCL) and how collective communication patterns work well with network fabric design.
Background in network telemetry, observability tooling, or adaptive routing algorithms.
Experience with multi-tenant AI fabric isolation, network slicing, or traffic engineering in GPU cluster environments.
Prior collaboration with ASIC or silicon teams on network feature definition.
