Cerebras currently has 38 active AI-related job listings. The majority of these roles, 79%, are focused on serving infrastructure. The top hiring function is Engineering, with 32 roles. The company is actively hiring in the United States and Canada. Frequent tech tags include model_serving and inference_infra. In the last 30 days, Cerebras posted 4 new AI roles, representing a 20% decrease compared to the previous 30-day period.
Currently tracking 36 active AI roles, up 46% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $170k–$250k (avg $206k).
Cerebras currently has 39 active AI-related roles in our index. The most common open titles are: Kernel Engineer (2), ML Systems Performance Engineer (2), LLM Inference Performance & Evals Engineer, AI Infrastructure Operations Engineer, AI Models, Product Manager. Most positions are in Engineering and Research.
Cerebras's active AI hiring is concentrated in: serving infrastructure (85%), post-training (8%), pre-training (5%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cerebras is hiring AI talent in: United States (23 roles), Canada (20 roles), India (6 roles), United Arab Emirates (3 roles).
Job postings at Cerebras most frequently reference: model serving, inference infra, fine tuning, llm observability, frontier research.
In the past 30 days, Cerebras has posted 4 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Models, Product Manager Product Manager for AI Models at Cerebras, focusing on defining and launching the strategic model portfolio for their wafer-scale AI inference platform. Responsibilities include roadmap ownership, partnerships with AI labs and open-source communities, defining quality standards, leading go-to-market strategies, and making technical decisions on performance optimizations. The role requires strong product management experience, technical knowledge of AI models and inference, and cross-functional leadership. | ShipServe | 8 |
| Product Manager, Strategic Verticals Product Manager for Strategic Verticals at Cerebras, focusing on embedding with strategic customers to translate their ambitions into AI solutions using Cerebras' wafer-scale architecture. The role involves owning customer success, designing PoCs, navigating complexities, and influencing the product roadmap by distilling customer insights. |
| ShipServe |
| 8 |