49 минут назад
Network Engineer (AI)
202 000 - 261 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Network Engineer (AI): Designing and scaling high-performance data center network fabrics for massive AI training clusters with an accent on lossless RDMA (RoCEv2) and large-scale distributed systems. Focus on building automated, source-of-truth-driven network architectures that support 100k+ accelerators.
Location: Must be based in or able to work from New York, NY; Austin, TX; San Francisco, CA; or Seattle, WA (Hybrid)
Salary: $202,000 – $261,000 + Equity
Company
is building civilization-scale compute infrastructure to accelerate AI development and ensure models are aligned with human freedom.
What you will do
- Own the end-to-end network design lifecycle from customer requirements to deployable architectures.
- Produce topology designs, IP/addressing schemes, and routing policies for front-end, back-end, and storage networks.
- Adapt network architectures to diverse GPU platforms including NVIDIA, AMD, and custom accelerators.
- Translate logical designs into physical reality, including rack elevations, power constraints, and structured cabling.
- Design lossless Ethernet fabrics for RDMA (RoCEv2) with a focus on congestion management and traffic classes.
- Create HLDs, LLDs, cutsheets, and BOMs while leading design reviews.
Requirements
- Must have the right to work in the United States.
- Deep expertise in L1 to L3 networking: CLOS/fat-tree topologies, BGP, EVPN, and VXLAN.
- Proven experience designing data center network fabrics from requirements through deployment.
- Ability to design lossless RDMA (RoCEv2) fabrics and manage congestion at scale.
- Strong ability to partner across Hardware, DC Operations, and Software teams.
- Ability to reason from first principles to solve novel design challenges.
Nice to have
- Experience with source-of-truth-driven design generation.
- Experience with multi-vendor GPU platform integration.
- Experience with large-cluster (100k+ accelerator) environments.
Culture & Benefits
- Competitive total compensation including base salary and equity.
- Comprehensive health, dental, and vision insurance.
- Retirement or pension plan.
- Generous PTO policy.
- High-intensity, autonomous work environment focused on solving frontier AI infrastructure problems.
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