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 |
| Prognostics & Health Monitoring Engineer This role focuses on building a prognostics and health monitoring (PHM) capability for Cerebras' AI hardware and systems. The engineer will develop frameworks to monitor, assess, and predict hardware health, transforming telemetry data into actionable insights for early detection of degradation and proactive failure prediction to ensure system availability and performance. It involves reliability engineering, data science, and system software integration. | Ship | 5 |