Cerebras
Semiconductors · Wafer-scale AI chip
- HQ
- Sunnyvale, US
- Founded
- 2016
- Website
- cerebras.net
Semiconductors · Wafer-scale AI chip
Currently tracking 35 active AI roles, up 14% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $170k–$250k (avg $206k).
| Title | Stage | AI score |
|---|---|---|
| ML Research Engineer (Inference) Research Engineer focused on adapting and optimizing advanced language and vision models for efficient inference on Cerebras' wafer-scale AI architecture. The role involves implementing, validating, and optimizing models for low-latency, high-throughput inference, with a focus on techniques like speculative decoding, pruning, compression, and sparsity. | Serve | 9 |
| Kernel Engineer Kernel Engineer role focused on developing and optimizing high-performance software for Cerebras' AI chip, specifically implementing and scaling deep learning operations and building parallel algorithms for training and inference. The role involves low-level programming, performance tuning, and interaction with hardware architects to maximize compute utilization and accelerate AI innovation. | ServePretrain |
| 9 |
| QA Lead (ML Integration and Quality) The QA Lead will be responsible for ensuring the quality of Cerebras' software across all supported ML workloads and workflows, focusing on feature testing, ML training accuracy and performance, and pre-deployment validation. This role involves driving quality, implementing testing methodologies, automating workflows, and debugging issues within a large-scale enterprise environment. | ServePost-train | 7 |