
501 - 1000 employees
🔧 Hardware
🤖 Artificial Intelligence
☁️ SaaS
Hardware • Artificial Intelligence • SaaS
Cerebras is a company that builds wafer-scale AI chips (the Wafer-Scale Engine) and systems purpose-built for ultra-fast AI inference and training. They offer the CS-3 system and Cerebras Inference Cloud with drop-in OpenAI API compatibility, enable on-premise, cloud, and edge deployment, and partner with companies like AMD, CrowdStrike, Flex, and major enterprises. Their product messaging emphasizes extremely large chips (58x larger than GPUs), massive speed and throughput (up to 15x faster inference, thousands of tokens per second), and use cases across model serving, fine-tuning, and pre-training. Customers include OpenAI, Meta, GSK, Mayo Clinic, AWS, and others; applications span AI infrastructure, real-time agents, genomics, drug discovery, cybersecurity, and enterprise search. Cerebras focuses on high-performance AI hardware and integrated software/platform offerings for training and inference.
🔥 2 hours ago
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501 - 1000 employees
🔧 Hardware
🤖 Artificial Intelligence
☁️ SaaS
Hardware • Artificial Intelligence • SaaS
Cerebras is a company that builds wafer-scale AI chips (the Wafer-Scale Engine) and systems purpose-built for ultra-fast AI inference and training. They offer the CS-3 system and Cerebras Inference Cloud with drop-in OpenAI API compatibility, enable on-premise, cloud, and edge deployment, and partner with companies like AMD, CrowdStrike, Flex, and major enterprises. Their product messaging emphasizes extremely large chips (58x larger than GPUs), massive speed and throughput (up to 15x faster inference, thousands of tokens per second), and use cases across model serving, fine-tuning, and pre-training. Customers include OpenAI, Meta, GSK, Mayo Clinic, AWS, and others; applications span AI infrastructure, real-time agents, genomics, drug discovery, cybersecurity, and enterprise search. Cerebras focuses on high-performance AI hardware and integrated software/platform offerings for training and inference.
• Drive end-to-end Data Center Delivery execution across data center builds • Build and manage integrated EPC schedules • Drive critical path execution and recovery plans • Lead weekly execution reviews with contractors and internal teams • Align engineering, supply chain, construction, and commissioning • Eliminate gaps between design intent and field execution • Resolve technical interfaces (power, cooling, controls, network) • Track long-lead equipment • Ensure procurement stays ahead of construction • Mitigate supply chain risks early • Work directly with general contractors and trades • Resolve RFIs and field issues • Ensure execution matches design and schedule • Coordinate commissioning across systems • Drive readiness for Ready for Service (RFS) • Ensure sites are operational • Identify risks early and drive mitigation • Maintain visibility into issues and blockers • Provide concise updates to leadership (build dashboards)
• 8-15+ years in data center or mission-critical infrastructure delivery • Experience in EPC or owner-side delivery • Strong understanding of electrical and mechanical systems • Proven ability to deliver on aggressive schedules • Comfortable operating in ambiguity • Strong field presence and technical depth.
• Build a breakthrough AI platform beyond the constraints of the GPU. • Publish and open source their cutting-edge AI research. • Work on one of the fastest AI supercomputers in the world. • Enjoy job stability with startup vitality. • Our simple, non-corporate work culture that respects individual beliefs.
Apply Now🔥 2 hours ago
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