Principal Technologist – AI Compute

🕒 September 22

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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👻 Ghost score 11%

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DriveNets

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201 - 500 employees

📡 Telecommunications

Telecommunications

DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are innovative networking solutions that apply the cloud architectural approach to high-scale networking, combining the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking. Founded by successful telco entrepreneurs Ido Susan and Hillel Kobrinsky, DriveNets offers the leading open disaggregated networking solution utilizing cloud-native software on standard white boxes. Their solutions are globally adopted by numerous service providers and are in various trials, significantly impacting network operations, including a substantial deployment with AT&T.

📋 Description

• Own technical architecture for complex, high-value customer opportunities spanning 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 • Lead proof-of-concept design and execution • Define proof-of-concept success criteria and GPU cluster benchmarking plans for training/inference throughput and scaling efficiency • Communicate proof-of-concept results with rigor and clarity to customers • Engage with ML infrastructure leads, compute architects, and C-level stakeholders at hyperscalers, NeoClouds, service providers, and large enterprises • Capture field insights on GPU/accelerator platform trends and workload behavior • Translate field insights into requirements for Product Management and Engineering • Define and publish architecture playbooks, reference designs, and best practices for AI compute infrastructure • Lead and mentor Solutions Architects and Solutions Engineers • Represent DriveNets at industry events • Author white papers and technical blogs • Build DriveNets' external technical brand in AI compute infrastructure

🎯 Requirements

• 12+ years of experience in data center compute infrastructure architecture and design • At least 3 years focused on AI/HPC GPU or accelerator platforms and hyperscale environments • Extensive hands-on experience with GPU/accelerator hardware and system design, including NVIDIA/AMD • Experience with compute cluster orchestration using Kubernetes and Slurm • Experience with distributed training/inference frameworks • Proven senior pre-sales, solutions architecture, or system architecture experience • Direct experience influencing large, complex deals with VP and C-level stakeholders • Experience with GPU virtualization and partitioning, including MIG/vGPU • Experience with containerized ML workloads and bare-metal GPU provisioning • Experience with scripting and automation using Python, APIs, and JSON • Exceptional communication and presentation skills • Willingness to travel domestically and internationally approximately 10% • Familiarity with PyTorch, TensorFlow, and JAX • Experience with NCCL/RCCL tuning and GPU cluster benchmarking, such as MLPerf • Understanding of collective communication behavior at scale • Hands-on knowledge of scale-up interconnects, including NVLink and UALink • Familiarity with GPU resource scheduling and orchestration using Slurm, Kubernetes, and Ray • Experience with GPU observability and telemetry using DCGM, Prometheus, and Grafana • Understanding of data center operations fundamentals, including power, cooling, and rack design • BS, MS, PhD, or equivalent experience in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field

🏖️ Benefits

• Opportunity to make a meaningful impact on multi-million-dollar customer engagements • Creativity, teamwork, and growth-oriented work environment • Approximately 10% domestic and international travel • Equal opportunity employment • NVIDIA/AMD platform certifications, or equivalent — advantage

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