2 дня назад
Network Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Network Architect (AI): Designing front-end datacenter and interconnect network fabrics for next-generation AI and HPC clusters with an accent on resilient architecture, low-latency communication, and high-throughput performance. Focus on developing network proofs of concept, debugging distributed systems, integrating hardware and software components, and leading multi-team networking projects.
Location: Sunnyvale, United States; on-site
Company
builds large-scale AI computing hardware and software platforms designed to accelerate model training and inference beyond conventional GPU systems.
What you will do
- Design and architect front-end network fabrics for AI/ML and HPC systems.
- Develop proofs of concept for network designs and features supporting resilient and reliable AI workloads.
- Identify and resolve performance and efficiency bottlenecks to achieve high utilization, low latency, and high-throughput communication.
- Lead multi-phase, cross-functional projects integrating network devices, the Wafer-Scale Engine, and software across multiple stack layers.
- Collaborate with vendors and industry partners on network hardware and feature roadmaps.
- Serve as the central point of contact for network reliability issues and represent in technical communities.
Requirements
- Ph.D. in Computer Science or Electrical Engineering with 10 years of industry experience, or a Master’s degree in CS or EE with 15 years of industry experience.
- 8+ years of experience designing large-scale networks in datacenter and cloud environments.
- Extensive experience debugging networking issues in large distributed systems with multiple platforms and protocols.
- Experience managing and leading multi-phase, multi-team technical projects.
- Experience with Juniper, Arista, Cisco, or open networking architectures such as SONiC and FOBSS.
- Knowledge of VXLAN, EVPN, RoCE, BGP, DCQCN, PFC, and streaming telemetry, plus familiarity with Python or Go and network visibility systems.
Nice to have
- Prior experience at hyperscalers or cloud service providers.
Culture & Benefits
- Build an AI platform based on purpose-built hardware beyond GPU constraints.
- Opportunities to publish and open-source AI research.
- Work on a high-performance AI supercomputer.
- Job stability combined with startup vitality.
- Non-corporate culture focused on individual beliefs, learning, growth, and support.
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