10 часов назад
Networking Hardware Sourcing Role
155 000 - 199 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Networking Hardware Sourcing Role (AI infrastructure): Sourcing and qualifying networking hardware for large-scale AI compute infrastructure, including switches, routers, and DPUs for 100k+ accelerator clusters, with an accent on supplier qualification, dual sourcing, and supply agreements. Focus on negotiating price, lead time, and roadmap access, managing hardware generation transitions, and aligning procurement with network engineering roadmaps.
Location: Austin, TX; New York, NY; San Francisco, CA; Seattle, WA; or U.S. Remote. Location type: On-site.
Salary: $155,000–$199,000 per year, plus equity.
Company
builds and operates large-scale compute infrastructure and data centers for frontier AI.
What you will do
- Source networking hardware at scale from major OEMs, including switches, routers, and DPUs.
- Qualify and dual-source critical equipment categories for large accelerator clusters.
- Negotiate supply agreements covering price, lead times, and roadmap access.
- Manage end-of-life and hardware generation transitions without stranding inventory or delaying builds.
- Coordinate buy plans with network engineering roadmaps and equipment requirements.
- Keep firmware, licensing, and support terms aligned with procurement agreements.
Requirements
- Experience sourcing networking hardware at scale from major OEMs.
- Experience managing end-of-life and generation transitions.
- Technical understanding of optics, ASICs, and port speeds sufficient for supplier and product-team negotiations.
- Experience managing qualification requirements created by dual sourcing.
- Ability to work with network engineering teams and align procurement with hardware roadmaps.
Nice to have
- Experience with AI or HPC fabric hardware.
- Experience with white-box and ODM switching.
- Knowledge of optics supply chains.
- Experience with vendor financing structures.
Culture & Benefits
- Full-time employment with base salary, equity, and benefits.
- Emphasis on extreme ownership, autonomy, velocity, and first-principles thinking.
- Work focused on building large-scale compute infrastructure for AI.
- Commitment to pay equity and compensation transparency.
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