Cerebras
Semiconductors · Wafer-scale AI chip
- HQ
- Sunnyvale, US
- Founded
- 2016
- Website
- cerebras.net
Semiconductors · Wafer-scale AI chip
| Title | Stage | AI score |
|---|---|---|
| Advanced Technology: AI/ML Research Scientist Research Scientist role focused on designing AI models and training methods from first principles, leveraging novel wafer-scale hardware architectures. The role involves investigating computational science techniques for AI, understanding hardware-algorithm interactions, and publishing research at top-tier venues. The work directly influences future hardware and software design. | Pretrain | 10 |
| 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 |
| Advanced Technology: R&D Engineer - AI/ML, HPC Research Engineer role focused on designing and implementing AI/ML workloads on Cerebras' wafer-scale hardware, optimizing performance, and contributing to future hardware/software roadmaps. Involves algorithm-hardware co-design, performance modeling, and publishing research. | Serve | 9 |
| Principal ML Investigator Cerebras is seeking a Principal ML Investigator to lead a new ML team focused on advanced development in areas like post-training, reinforcement learning, dataset curation, LLM pretraining, sparsity, and various domains (coding agents, reasoning agents, generative language, image, video). The role involves building the team, formulating research agendas, adapting algorithms to Cerebras hardware, training/tuning/evaluating models, and collaborating with internal and external partners. | PretrainPost-train | 9 |