AI Job Radar

Cerebras Systems – KI-Jobs

5 aktuelle KI-Jobs oder KI-nahe Rollen bei Cerebras Systems.

Aktive Jobs: 5

Cerebras Systems im AI Job Radar

Diese Unternehmensseite bündelt aktuelle KI-Rollen von Cerebras Systems, sichtbare Skill-Signale, Standorte und direkte Links zu den Originalanzeigen.

5Aktive Jobs
95.0Ø AI-Score
greenhouseQuellen
Top-Skills

Machine Learning, Deep Learning, LLM, Model Optimization, C++, Python, PyTorch, Data Science

Standorte

Toronto Office, Headquarters/Sunnyvale Office, Headquarters/Sunnyvale Office, Toronto Office, India Office

KI-Domänen

Generative AI, Generative AI, LLM Inference, Hardware Acceleration, Generative AI, MLOps, Hardware Acceleration, Generative AI, Model Quality, MLOps

5 Treffer auf dieser Seite. Insgesamt 5 Treffer. Weitere Treffer sind über die Seitennavigation, Firmen-, Skill- und Jobdetailseiten erreichbar.

AI Engineer, Model Quality and Performance

Cerebras Systems · Headquarters/Sunnyvale Office

95/100
Headquarters/Sunnyvale OfficeUSAgreenhouse2026-06-16

Warum echter KI-Job: The role is entirely focused on building AI-driven systems for model quality, performance evaluation, and automation. The core responsibilities revolve around AI agents, data analysis, and building tooling for ML models.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Quelle / Bewerbung öffnen

Applied Machine Learning Research Scientist

Cerebras Systems · Headquarters/Sunnyvale Office, Toronto Office

95/100
Headquarters/Sunnyvale Office, Toronto OfficeUSAgreenhouse2026-06-16

Warum echter KI-Job: The role explicitly focuses on applying and improving machine learning techniques, specifically LLMs, for training, optimization, and deployment. The responsibilities are heavily centered around ML systems and pipelines.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Quelle / Bewerbung öffnen

Full Stack LLM Engineer

Cerebras Systems · Toronto Office

95/100
Toronto OfficeUSAgreenhouse2026-06-16

Warum echter KI-Job: The role is explicitly focused on bringing up and optimizing large language models (LLMs) on specialized hardware. The responsibilities and required skills are heavily centered around AI/ML concepts and implementation.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Quelle / Bewerbung öffnen

Toronto OfficeUSAgreenhouse2026-06-16

Warum echter KI-Job: The role is explicitly focused on LLM inference performance, model evaluation, and optimization on specialized hardware. The responsibilities and required skills are deeply rooted in AI/ML concepts and techniques.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Quelle / Bewerbung öffnen

India OfficeUSAgreenhouse2026-06-16

Warum echter KI-Job: The role is explicitly focused on bringing up and optimizing ML frameworks and models on specialized hardware. The responsibilities directly involve core AI/ML tasks like model architecture translation, compiler optimizations, and performance tuning. The requ…

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training…

Details Quelle / Bewerbung öffnen