Principal AI Compute Architect — Pre-Sales Leader

Drivenets; Middletown (NJ); Remote; USD 180,000 - 280,000; Full time

Job summary

DriveNets is seeking a Principal Technologist to lead the compute AI infrastructure strategy in pre-sales, partnering with hyperscalers, NeoClouds, and enterprises to design high-performance GPU clusters. You will drive PoCs, define success metrics, and translate customer workloads into scalable solutions.

As a senior technical authority, you will engage C-level stakeholders, mentor Solutions Architects, and publish architecture playbooks that shape DriveNets' offerings.

Qualifications

• 12+ years of experience in data center compute infrastructure architecture and design, with at least 3 years focused on AI/HPC GPU or accelerator platforms.
• Hands-on depth in GPU/accelerator compute architecture – GPU/accelerator hardware and system design, compute cluster orchestration, and distributed training/inference frameworks.
• 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 GPU virtualization and partitioning – MIG/vGPU, containerized ML workloads, and bare‑metal GPU provisioning – and their role in maximizing compute utilization in AI environments.
• Experience with scripting and automation (Python, APIs) in ML infrastructure 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 10%.

Responsibilities

• Own the technical architecture for DriveNets' AI/HPC GPU and accelerator compute cluster design, workload performance, and the compute-to-network interface.
• Partner with Sales and Solutions Architects from early discovery through deal closure, establishing DriveNets as the technically superior choice for customers.
• Lead proof-of-concept design and execution – defining success criteria, driving GPU cluster benchmarking plans, and communicating results with rigor to gain technical confidence.
• Engage directly with ML infrastructure leads, compute architects, and C-level stakeholders at hyperscalers, NeoClouds, and large enterprises.
• Publish architecture playbooks, reference designs, and best practices for AI compute infrastructure that scale DriveNets' go-to-market across the SE/SA community.
• Lead and mentor Solutions Architects and Solutions Engineers, raising the overall technical bar of the pre-sales organization on compute topics.
• Represent DriveNets at industry events, author white papers and technical blogs, and build DriveNets' external technical brand in the AI compute space.

Skills

Data center compute

GPU/accelerator compute

Senior pre-sales

Executive engagement

Scripting Python

Education

BS/MS/PhD in Engineering/CS/Physics

Tools

Kubernetes

Slurm

NVIDIA GPUs

GPU virtualization

Job description

DriveNets is seeking a Principal Technologist to lead the compute AI infrastructure strategy in pre-sales, partnering with hyperscalers, NeoClouds, and enterprises to design high-performance GPU clusters. You will drive PoCs, define success metrics, and translate customer workloads into scalable solutions.

As a senior technical authority, you will engage C-level stakeholders, mentor Solutions Architects, and publish architecture playbooks that shape DriveNets' offerings.