{"id":4172158,"url":"https://alion.io/job/cerebras-systems-cloud-capacity-planner","title":"Cloud Capacity Planner","company":{"id":31,"name":"Cerebras Systems","domain":"cerebras.ai","url":"https://alion.io/company/cerebras-systems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":122,"ghost_share":0.131,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":99,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Operations","role_family":"Operations","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cerebras","optional":false},{"name":"OpenAI","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-12T13:33:30Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T15:02:23Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. \nThis order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.\nCerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.\nAbout the Team\nThe Cerebras Data Center team plans and delivers the infrastructure behind our AI systems. We work across site strategy, power and cooling, hardware, networking, supply chain, deployment, and operations to bring reliable capacity online across multiple locations.\nAbout the Role\nWe are seeking a Data Center Capacity Planner to translate business and AI infrastructure demand into an integrated capacity plan. You will determine where capacity is needed, when it must be available, and which constraints could affect delivery.\nWorking with Data Center leadership, infrastructure engineering, delivery program managers, supply chain, finance, and commercial teams, you will connect demand forecasts with available and planned supply. Your analyses will guide site expansion, equipment planning, and capacity allocation decisions.\nResponsibilities\nBuild and maintain near-term and long-range demand and supply forecasts by site and region, connecting AI compute requirements to system counts, racks, critical power, cooling, and network capacity.\nReconcile customer commitments, expected growth, utilization, and engineering plans; distinguish committed demand from forecast opportunities and document planning assumptions.\nMaintain a clear view of installed, commissioned, allocated, available, and planned capacity. Account for operating reserves, redundancy requirements, and capacity that cannot yet support workloads.\nModel capacity gaps and expansion scenarios, incorporating utility timelines, construction and commissioning milestones, hardware availability, and supplier lead times.\nRecommend when to expand, reserve, or rebalance capacity. Partner with Finance to assess capital requirements, operating costs, utilization, and the tradeoffs between earlier availability and unused capacity.\nPartner with delivery TPMs to translate approved capacity plans into site requirements and milestones; update forecasts when schedules, demand, or infrastructure constraints change.\nWork with Data & Tooling partners to establish planning datasets, reconciliation checks, and dashboards. Track forecast accuracy, capacity coverage, utilization, and changes in expected availability.\nLead recurring capacity reviews, explain material changes, and present decisions and recovery options to leadership with clear assumptions, owners, and dependencies.\nRequired Qualifications\n5+ years of experience in capacity planning, infrastructure planning, operations research, supply and demand planning, or a related analytical role supporting complex infrastructure.\n\nExperience building demand and supply models across multiple locations or infrastructure environments, including scenario analysis and reconciliation of changing assumptions.\n\nUnderstanding of data center capacity constraints and dependencies across electrical power, cooling, space, hardware, networking, and deployment readiness.\n\nStrong SQL and spreadsheet modeling skills, with the ability to combine operational and financial data, validate results, and explain the limits of incomplete information.\n\nAbility to convert forecasts into specific recommendations and influence decisions across engineering, finance, program management, and operations.\n\nClear written and verbal communication, including concise leadership updates that explain capacity gaps, timing risks, and decision tradeoffs.\n\nBachelor’s degree in engineering, computer science, operations research, mathematics, supply chain, or a related field, or equivalent practical experience.\n\nPreferred Qualifications\n\nExperience planning capacity for AI, high-performance computing, hyperscale cloud, or colocation environments, including high-density infrastructure.\n\nProficiency with Python or another analytical language for forecasting, optimization, and repeatable planning workflows.\n\nExperience with business intelligence tools, data center infrastructure management systems, enterprise resource planning systems, or infrastructure inventory platforms.\n\nFamiliarity with power delivery timelines, liquid cooling, long-lead electrical and mechanical equipment, or global data center expansion.\n\nExperience connecting workload demand and service requirements to fleet utilization, capacity reservations, and investment planning.\n\nWhy Join Cerebras\nPeople who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\n\nPublish and open source their cutting-edge AI research.\n\nWork on one of the fastest AI supercomputers in the world.\n\nEnjoy job stability with startup vitality.\n\nOur simple, non-corporate work culture that respects individual beliefs.\n\nFind out more about what it's like to work at Cerebras here!\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.\nThis website or its third-party tools process personal data. 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