[Hiring] Principal Technologist - AI and Data Center Networking @DRIVENETS

Role Description

DriveNets is seeking a Principal Technologist to be a senior technical leader within our Pre-Sales organization. Join a dynamic and forward-thinking company at the forefront of network transformation. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional network performance. Collaborate with the industry's best as we partner with hyperscalers, emerging NeoClouds, and enterprises building AI/HPC GPU fabrics, shaping the future of GPU Ethernet interconnect. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact on multi-million-dollar customer engagements.

As a Principal Technologist, you will serve as the senior technical authority in complex pre-sales cycles for AI networking and data center infrastructure. You will lead solution architecture and design for DriveNets' most strategic opportunities globally - working independently or alongside Solutions Architects and Sales teams to translate customer business challenges into scalable, differentiated technical solutions. You will engage at the C-level and VP level with hyperscalers, NeoClouds, service providers, and large enterprises, and will serve as a thought leader and enabler both internally and externally.

Responsibilities

• Own the technical architecture for DriveNets' most complex and high-value customer opportunities - spanning AI/HPC GPU fabric design and large-scale data center network infrastructure.
• Partner with Sales and Solutions Architects from early discovery through deal closure, establishing DriveNets as the technically superior choice for customers building next-generation AI networking infrastructure.
• Lead proof-of-concept design and execution - defining success criteria, driving benchmarking plans, and ensuring results are communicated with the rigor and clarity that wins technical confidence at the customer.
• Engage directly with engineering leads, network architects, and C-level stakeholders at hyperscalers, NeoClouds, and large enterprises - building relationships that outlast any single deal.
• Serve as a product feedback engine - capturing deep field insights from customer engagements and translating them into concrete requirements for DriveNets' Product Management and Engineering teams.
• Define and publish architecture playbooks, reference designs, and best practices that scale DriveNets' technical go-to-market across the Solutions Architect and Solutions Engineer community.
• Lead and mentor Solutions Architects and Solutions Engineers, raising the overall technical bar of the pre-sales organization.
• Represent DriveNets at industry events, author white papers and technical blogs, and build DriveNets' external technical brand in the AI networking space.

Qualifications

• 12+ years of experience in data center networking architecture and design, with at least 3 of those years focused on AI/HPC infrastructure or hyperscale environments.
• Extensive hands-on depth in large-scale switching and routing - BGP, EVPN/VXLAN, QoS, lossless Ethernet (PFC, ECN), and network automation (NETCONF, YANG, REST APIs).
• Proven track record in senior pre-sales, solutions architecture or system architecture roles, including direct experience influencing large, complex deals with VP and C-level stakeholders.
• Experience with virtualization technologies at the x86 level - including DPDK, SR-IOV, and SmartNICs/DPUs - and their role in accelerating network I/O and offloading data plane functions in AI and data center environments.
• Experience leading technical responses to RFP/RFQs and owning solution architecture documentation end-to-end.
• Experience with scripting and automation (Python, APIs, JSON) in the context of network operations and solution integration.
• Exceptional communication and presentation skills - able to command a room of engineers and a room of C-suite executives with equal credibility.
• Willingness to travel domestic and international approximately 20%.

Requirements

• Deep familiarity with AI/HPC networking - RoCEv2, InfiniBand, GPU, NIC, DPU - and how network design decisions directly impact AI workload performance.
• Experience with NCCL/RCCL tuning and GPU cluster benchmarking, and understanding of collective communication behavior at scale.
• Hands-on knowledge of scale-up (NVLink, UALink) and scale-out (Enhanced Ethernet, UEC, InfiniBand) interconnect trade-offs in production AI cluster environments.
• Familiarity with GPU resource scheduling (Slurm, Kubernetes) and how orchestration interacts with network design.
• Experience with observability and telemetry (Prometheus, Grafana, gNMI, OTLP) in large-scale networking environments.
• Understanding of data center operations fundamentals - power, cooling, rack design - at hyperscale.
• CCIE, JNCIE, or equivalent - advantage.

Education

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.