Чёткая руководящая роль в быстрорастущей AI-инфраструктурной компании: можно развивать критически важное сетевое направление, команду и процессы.
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Hirify AI/Оригинал
TL;DR
Senior Optical Engineering Manager (AI): Building and operating optical networking capacity for a GPU cloud infrastructure with an accent on backbone connectivity, capacity automation, and organization scaling. Focus on designing durable capacity pipelines, planning long-lead infrastructure, and leading teams responsible for reliable customer connectivity at high scale.
Location: Dublin, Ireland; remote workplace
Salary: €152K–€190K annual salary
Company
Lambda is an AI cloud infrastructure company serving AI researchers, enterprises, and hyperscalers with GPU cloud computing.
What you will do
Own optical networking planning, delivery, operation, and capacity landing ahead of demand.
Build and lead the optical engineering organization, including hiring, development, retention, and organizational design.
Set the multi-year strategy for optical capacity automation and convert manual processes into durable software pipelines.
Establish operational standards for planning, reviewing, shipping, measuring, and learning from capacity work and incidents.
Partner with Interconnect, Infrastructure, Supply Chain, Data Center Operations, Product, Finance, Principal Engineers, technical leadership, customers, and partners.
Represent technical direction to senior leadership and contribute to company-wide engineering process improvements.
Requirements
5+ years of optical engineering management experience.
Proven experience building and scaling engineering organizations delivering mission-critical, high-performance cloud connectivity serving millions of users.
Experience designing, building, scaling, and operating large-scale networks.
Strong automation skills and a record of accelerating business delivery velocity at large scale.
Experience building high-performing teams in fast-moving, technically demanding environments.
Ability to translate ambiguous business and product goals into clear priorities and executable engineering plans.
Strong judgment about when to work deeply on technical issues, delegate, or escalate.
Successful project and product delivery in fast-paced, high-pressure environments.
Excellent written and verbal communication, including the use of high-quality written artifacts for decision-making and approvals.
Nice to have
Experience with GPU cloud, HPC, or AI/ML infrastructure environments.
Familiarity with large-scale data center or cloud networking, including fabric build-out, capacity modelling, or network supply chain.
Experience with infrastructure capacity forecasting and long-lead hardware planning.
Prior experience at a high-growth infrastructure or cloud company.
Health, dental, and vision coverage for employees and dependents.
Generous cash and equity compensation.
Wellness and commuter stipends for select roles.
401(k) plan with a 2% company match for USA employees.
Flexible paid time off plan.
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