Sr./Staff Network Design Engineer, AI/HPC
Groq · San Francisco, United States · Dallas, United States · New York, United States
Infrastructureonsitesenior / staff
At a glance
Highlights
- Own network architecture for large-scale AI training and inference infrastructure.
- Turn compute and workload needs into scalable, production-ready network designs.
- Partner across compute and platform teams to scale global cloud for AI workloads.
Ideal candidate
Systems-minded network architect who loves designing at scale and thrives partnering across infrastructure teams to make high-performance AI infrastructure simple, reliable, and repeatable.
Requirements
- Deep expertise in data center networking and network architecture
- Experience with routing protocols, automation and large-scale infrastructure
- Experience designing spine-leaf/Clos fabrics for front-end, back-end and storage networks
- Experience with capacity planning and traffic engineering for AI workloads
- remote policy
- Remote until office opens, then onsite
Lab profile
About Groq
Built LPU silicon and cloud platform delivering world's fastest AI inference at scale.
What they build
- LPU AI inference processor
- GroqCloud inference platform
Known for
- World's fastest inference at scale
- Purpose-built silicon for AI inference
- Silicon-to-cloud production infrastructure
Key facts
- Founded in 2016
- Headquartered in Mountain View, California
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