Senior Runtime Engineer
Cerebras · United States and Canada
CHECKED 6H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Design distributed runtime for training and inference at unprecedented scale.
- Optimize end-to-end model execution from ingestion to distributed execution.
- Push concurrency and throughput limits on the world's largest AI chip platform.
Ideal candidate
Systems-obsessed engineer with distributed systems background who loves squeezing performance from hardware to clusters and partnering with ML teams to scale frontier AI workloads.
Requirements
- 3+ years of experience developing high-performance or distributed system software
- Strong programming skills in C/C++ with multi-threading, memory management and performance optimization
- Experience with distributed systems, networking, or inter-process communication
- Solid understanding of data structures, concurrency and system-level resource management
- Proven ability to debug, profile, and optimize code from threads to clusters
- Bachelor's, Master's or equivalent experience in Computer Science, Electrical Engineering or related field
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