Compute Server Platform Architect
Cerebras · United States and Canada
CHECKED 7H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Own server platform architecture powering CS3-based AI clusters at scale.
- Co-design servers with software to optimize token-level latency and throughput.
- Drive next-gen AI platform delivering 10x faster inference than GPU clouds.
Ideal candidate
Deep systems thinker who loves turning workload behavior into elegant platform designs. Collaborative technical leader energized by owning end-to-end architecture and driving decisions across software, hardware, and vendors.
Requirements
- PhD in CS or EE with 8+ years industry experience or BS/MS with 10+ years
- 5+ years in server platform architecture or large-scale infrastructure design for AI/ML or HPC
- Deep understanding of x86 server architecture including NUMA, caches and memory tradeoffs
- Experience with high-performance IO paths including NIC behavior, RDMA/RoCE and NVMe
- Proven ability to create capacity and performance models validated by benchmarking
- Experience working with vendors to evaluate platforms and influence roadmaps
- Familiarity with application and system software in C, C++ and Python
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed