
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.
🕒 September 15
Where this job comes from
Posted on Cerebras's careers page, not through a job board
First seen by Remote Rocketship September 15
Still open on Cerebras's site. Checked 7 hours ago.

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.
• Manage end-to-end delivery of assigned data center construction projects from planning through commissioning and turnover • Lead data hall buildout, including racks, containment, power distribution, cooling integration, and network readiness • Act as day-to-day site interface with colocation providers regarding base-build readiness, SLAs, milestones, and integration points • Drive vendors, general contractors, and trade partners to execute fit-out scope on aggressive timelines • Implement Cerebras construction standards, playbooks, and repeatable colo deployment processes • Coordinate base-building and tenant-improvement scopes • Manage cost, schedule, quality, and safety across projects and workstreams • Develop and maintain detailed construction schedules, critical paths, dependencies, resources, and recovery plans • Identify risks, develop mitigation strategies, and escalate material issues to the Director • Lead site-level execution teams and maintain an on-the-ground presence as required • Partner with procurement and supply chain on long-lead equipment delivery • Maintain project reporting, dashboards, look-ahead schedules, and executive-ready updates • Support modularization, prefabrication, and lessons learned initiatives • Build relationships with colocation providers and site teams • Verify technical and delivery compliance for base-building readiness • Ensure clear landlord and tenant scope demarcation • Hold providers, contractors, and vendors accountable for commitments, milestones, quality, and readiness • Resolve integration issues between colo infrastructure and Cerebras systems • Review scope, schedule impacts, pricing, and change orders; negotiate within delegated authority • Lead project meetings, document decisions and action items, and close outstanding issues • Verify progress through site walks, field observations, schedule reviews, and contractor-progress validation • Support commissioning, punch-list completion, turnover documentation, and operational handoff
• 5–7 years of experience in mission-critical construction, preferably in data centers • Deep experience delivering white-space fit-out projects within colocation environments • Strong understanding of power, cooling, controls, and rack-level infrastructure in high-density environments • Proven ability to manage multiple complex construction projects or workstreams simultaneously • Experience working with EPC firms, general contractors, specialty trades, and colocation providers • Strong project controls and commercial skills, including schedule management, change-order review, contract administration, and cost control • Demonstrated ability to review detailed construction schedules, identify critical-path risks, and develop practical recovery plans • Working knowledge of commissioning, quality control, safety, and project-turnover processes • Ability to operate effectively in a fast-paced, ambiguous startup environment • Excellent leadership, communication, and stakeholder-management skills • Ability to work independently, make timely field-level decisions, and escalate issues appropriately • Proficiency with construction-management, scheduling, and reporting tools • Ability to travel regularly to project sites as required • Export compliance assessment or authorization may be required for access to controlled source code and technology
• 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 • Equal and diverse work environment
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