
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.
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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.
• Lead day-to-day operations across Western Canada sites • Ensure infrastructure meets uptime, performance, and reliability targets • Own incident response coordination for facility-related issues • Maintain alignment with Cluster Operations, Network Operations, and Platform Engineering • Act as primary interface with facility operators and vendors • Ensure site infrastructure supports high-density compute loads, liquid cooling systems, and redundant power architectures • Validate facility performance against defined operational thresholds • Execute modular deployments in 5MW increments • Coordinate site readiness, equipment installation, commissioning, and operational handoff • Support scaling toward a multi-site, high-capacity regional footprint • Lead and develop local data center technicians and engineers • Ensure execution aligns with HQ-defined standards, procedures, and timelines • Serve as the operational bridge between HQ and field teams
• 5–10+ years of data center or critical facility experience • Working knowledge of MEP systems (mechanical, electrical, plumbing) • Experience interfacing with facility providers and vendors • Demonstrated ability to lead site-level teams • Ability to execute both operationally and managerially in a fast-paced environment • Experience with AI/HPC infrastructure (preferred) • Exposure to liquid cooling systems (preferred) • Experience operating in cold-weather environments (preferred) • Familiarity with structured incident management frameworks (preferred) • Regional travel required • Must complete the required export compliance assessment/citizenship and permanent residency questionnaire
• Build a breakthrough AI platform beyond the constraints of the GPU • Publish and open source cutting-edge AI research • Work on one of the fastest AI supercomputers in the world • Job stability with startup vitality • Simple, non-corporate work culture that respects individual beliefs • Continuous learning, growth and support
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