--- title: 'Senior Manager, Production & Fleet Operations at Cerebras Systems' canonical: 'https://feeny.ai/job/senior-manager-production-fleet-operations-cerebras-systems-sunnyvale-tnzs6bz9xfma' type: 'job' last_seen: '2026-10-20' --- # Senior Manager, Production & Fleet Operations at Cerebras Systems - **Company:** [Cerebras Systems](https://feeny.ai/companies/cerebras-systems) - **Location:** Sunnyvale, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-09 - **Last confirmed live:** 2026-10-20 - **Apply:** https://jobs.ashbyhq.com/cerebras/0bdb4924-1e51-4139-a4e4-1e315f3a8eb4 ## Job 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. This 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. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. [OpenAI recently announced a multi-year partnership](https://openai.com/index/cerebras-partnership/) with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ## The Role Cerebras is building and operating some of the world's most advanced AI infrastructure. As our infrastructure footprint expands across cloud, colocation facilities, and customer environments, we need a scalable operating model that provides continuous visibility into production infrastructure and ensures issues are rapidly identified, prioritized, and resolved. We are seeking a Senior Manager, Production & Fleet Operations to lead the day-to-day operational management of Cerebras-managed production infrastructure. Reporting to the Director of Central Operations, this leader will establish and operate the mechanisms required to understand fleet health, coordinate production response, manage maintenance and repair activities, and ensure infrastructure is safely and efficiently returned to service when failures occur. This role will work closely with SiteOps/DC Ops, Reliability & Incident Management, Service Ops & Enablement, Global Service Logistics & Inventory, Build & Deploy, and Engineering. Mission Operate the Cerebras production fleet safely, reliably, and consistently - providing continuous visibility into infrastructure health, rapid restoration when failures occur, and an increasingly standardized and automated operating model as the fleet scales. ## Responsibilities Own Production Fleet Operations - Own day-to-day operational health of Cerebras-managed production infrastructure. - Establish consistent operational processes across clusters, sites, and operating environments. - Maintain clear visibility into production state, degradation, outages, maintenance, and infrastructure availability. - Establish fleet monitoring, alert response, triage, escalation, and restoration processes. - Develop appropriate 24x7 operational coverage as fleet requirements evolve. - Establish clear ownership of production issues from detection through restoration. Build the Fleet Operations Capability - Develop and mature the Cerebras Fleet Operations/NOC capability. - Establish standards for monitoring, telemetry, alerting, dashboards, and fleet-health reporting. - Develop shift, handoff, escalation, and on-call operating procedures. - Ensure operators have the tooling, runbooks, procedures, and access required to safely operate production infrastructure. - Partner with Service Ops & Enablement to develop operator competency and training requirements. - Drive standardization across geographically distributed infrastructure. Coordinate Physical Intervention - Determine when physical intervention is required. - Dispatch and prioritize SiteOps/DC Ops activities based on production impact. - Provide clear diagnostic information and execution procedures. - Coordinate troubleshooting between centralized Operations and onsite technicians. - Validate successful recovery following physical intervention. - Authorize return-to-service from an operational perspective. - Analyze recurring physical interventions and identify opportunities for improved diagnostics, procedures, serviceability, or automation. Own Systems Repair & RMA Operations - Establish and manage the operational workflow for failed Cerebras systems and components. - Coordinate diagnosis, replacement, repair, and RMA activities. - Establish clear disposition paths for failed assets. - Partner with Global Service Logistics & Inventory to ensure replacement assets and spares are available when required. - Maintain visibility into repair status and repair-loop performance. - Identify recurring repair patterns and feed them into Reliability & Incident Management and Engineering. - Reduce time from failure detection through restored production capacity. Manage Production Maintenance & Change - Establish operational governance for maintenance activities affecting production infrastructure. - Coordinate planned maintenance across Central Ops, SiteOps, customers, Engineering, and infrastructure partners. - Ensure production changes have appropriate validation, execution, and rollback procedures. - Maintain clear maintenance windows and communication mechanisms. - Measure and reduce production impact associated with planned maintenance. Drive Operational Automation - Identify high-frequency and high-toil operational activities suitable for automation. - Partner with Operations Strategy, Automation & Performance to prioritize automation opportunities. - Provide operational requirements and acceptance criteria to Software/Engineering teams implementing automation. - Increase automated detection, diagnosis, remediation, and validation where appropriate. - Reduce unnecessary Engineering involvement in repeatable operational activities. What Success Looks Like - Cerebras has clear fleet-level visibility across production infrastructure. - Production alerts have defined severity, ownership, response, and escalation expectations. - Operational procedures are consistent across sites and clusters. - Time to detect, acknowledge, diagnose, and restore failures improves. - SiteOps dispatch and intervention workflows are clearly defined and measurable. - Repair/RMA workflows have clear ownership and predictable turnaround. - Routine production issues increasingly resolve without Engineering intervention. - Manual operational toil decreases as automation increases. - The number of systems/clusters supported per Operations FTE improves as the fleet grows. ## Qualifications - 8+ years of experience in infrastructure operations, cloud operations, fleet operations, SRE, HPC operations, data center operations, or similar technical environments. - 3+ years leading technical operations teams. - Experience operating complex, highly available production infrastructure. - Strong understanding of monitoring, telemetry, incident response, maintenance, hardware troubleshooting, and service restoration. - Experience coordinating work between centralized operations and onsite technical teams. - Strong infrastructure troubleshooting and operational judgment. - Demonstrated ability to establish repeatable processes in rapidly evolving environments. - Strong cross-functional leadership and communication skills. - Demonstrated focus on automation and reduction of operational toil. ## Preferred Qualifications - AI/HPC, large-scale compute, accelerator, cloud, or distributed infrastructure experience. - Experience with hardware-intensive production environments. - Experience building or operating NOC/Fleet Operations capabilities. - Experience managing hardware repair/RMA processes. - Experience operating geographically distributed infrastructure. Leadership Characteristics We are looking for someone who owns the production outcome, remains calm under pressure, thinks at fleet rather than individual-system scale, builds repeatable mechanisms instead of relying on heroics, and constantly looks for opportunities to simplify and automate operations. ## Why This Role Matters When Cerebras infrastructure enters production, we need to know its state, know who owns every issue, restore failures rapidly, and make operating the next hundred systems easier than operating the first hundred. ## Why Join Cerebras People 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: - 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. Find out more about what it's like to work at Cerebras [here](https://www.cerebras.ai/join-us)! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras 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. 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For more details, click [here](https://www.cerebras.net/privacy/) to review our CCPA disclosure notice. ## About Cerebras Systems ## Company Overview - **One-liner**: Cerebras builds wafer-scale AI chips (the largest semiconductors ever made) and supercomputers that deliver up to 15x faster inference than GPUs, offered both on-premises and via cloud APIs. - **Entity Type**: Public (NASDAQ: CBRS) — filed for IPO and now listed on the Nasdaq. - **Headquarters**: Sunnyvale, California, United States - **Founded**: 2015 - **Founders**: Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, Jean-Philippe Fricker ## Core Business - **Primary industries**: Semiconductor manufacturing, AI computing hardware and software, cloud AI services. - **Target customers**: B2B – enterprises, government research labs, cloud service providers, and AI developers. - **Mission**: “Building impossible technologies so you can too” – accelerating AI through wafer-scale computing. ## Products & Services - **Wafer-Scale Engine (WSE-3)**: The world’s largest AI chip (215 mm²), 58x larger than a typical GPU, built for ultra‑fast AI training and inference. Manufactured by TSMC. - **CS-3 Supercomputer**: A single system powered by the WSE-3, delivering record-breaking AI performance for on-premises deployment. - **Cerebras AI Inference Cloud & Training Cloud**: Pay-as-you‑go APIs that provide drop‑in OpenAI‑compatible access to Cerebras’ hardware for serving, fine‑tuning, and pre‑training models. - **Condor Galaxy Network**: A series of supercomputers (e.g., CG‑1 with 4 exaFLOPs) built in partnership with G42 for high‑performance AI. ## Market Standing - **Valuation/Market Cap**: Not disclosed (recently public; market cap data not available in provided sources). - **Key Metric**: Annual revenue of $78.7 M (latest); total funding of $2.7 B across 15 rounds. - **Notable Investors/Partners**: G42, OpenAI (signed in 2026), Amazon Web Services (signed in 2026), Meta (Llama API), Perplexity, Mistral, Hugging Face, OpenRouter. - **Growth Signals**: - 34.3% YoY headcount growth (701 employees). - Rapid data center expansion across North America and Europe. - Won the HPCwire Readers’ & Editors’ Choice 2025 for Best AI Product/Technology. - Named to Forbes America’s Best Startup Employers 2026 and Fast Company Most Innovative Companies 2026 (AI). ## Competitive Advantages - **Wafer‑scale architecture**: Eliminates interconnect bottlenecks, reducing latency and delivering up to 15x faster inference than GPU clusters. - **Largest AI chip ever built**: 58x larger than any GPU, enabling massive on‑chip memory (SRAM) and compute density. - **Full‑stack offering**: Hardware + cloud APIs + on‑prem systems, giving customers deployment flexibility. - **Strong customer relationships**: Key contracts with OpenAI, AWS, G42, and Mayo Clinic (2024 Gordon Bell Prize work). ## Strategic Focus - **Scale inference capacity**: Building out data centers to become the world’s #1 provider of high‑speed AI inference. - **Deepen cloud partnerships**: Expanding pay‑as‑you‑go cloud access and enterprise deployments. - **Advance wafer‑scale technology**: Continuous R&D on WSE‑3 successors and software stack (compiler, ML workflows). - **Broaden model support**: Already serving Llama, Gemma, Qwen, Mistral, and more; integrating with Hugging Face and OpenRouter. ## Why Work Here - **Culture**: “Extraordinary people, breakthrough innovation, global impact” – the company highlights collaborative, low‑overhead teams with little bureaucracy. - **Work environment**: Hybrid/office with locations in Sunnyvale, San Diego, Toronto, and Bangalore. Inclusive and flexible policy. - **Perks**: Premium medical/dental/vision, life insurance, generous vacation, 401(k) and Group RRSP retirement plans, daily catered meals, healthy snacks, family‑friendly events (including CEO’s famous BBQ). - **Engineering focus**: Tackling fundamental challenges in chip design, system software, compiler technology, and ML workflows. Positions range from hardware (Design Verification, Manufacturing) to software (SRE, Compiler, Cloud). - **Philanthrophy**: Supports local communities and hosts students from around the world for Q&A. ## Sources 1. [cerebras.ai/company](https://www.cerebras.ai/company) 2. [cerebras.ai](https://www.cerebras.ai/) 3. [cerebras.ai/join-us](https://www.cerebras.ai/join-us) 4. [linkedin.com/company/cerebras-systems](https://www.linkedin.com/company/cerebras-systems) ## Other roles at Cerebras Systems - [Infrastructure Systems Engineer – Linux, Storage & Automation](https://feeny.ai/job/infrastructure-systems-engineer-linux-storage-automation-cerebras-systems-x09zpw8fb6q2) — Sunnyvale, CA - [AI Inference Core - Senior SDET, Release Integration Testing](https://feeny.ai/job/ai-inference-core-senior-sdet-release-integration-testing-cerebras-systems-k4pm4rc616mx) — Sunnyvale, CA - [Senior Manager, Service Operations & Enablement](https://feeny.ai/job/senior-manager-service-operations-enablement-cerebras-systems-sunnyvale-qmxx1hpzvnvq) — Sunnyvale, CA - [Supply Chain Program Manager](https://feeny.ai/job/supply-chain-program-manager-cerebras-systems-sunnyvale-5yqqr6hwg3zr) — Sunnyvale, CA - [SEC Reporting & Technical Accounting Manager](https://feeny.ai/job/sec-reporting-technical-accounting-manager-cerebras-systems-sunnyvale-g6g9t52gcjn6) — Sunnyvale, CA - [Full Stack Machine Learning Engineer](https://feeny.ai/job/full-stack-machine-learning-engineer-cerebras-systems-bengaluru-fm2j4tvccywm) — Bengaluru, India - [DevX Technical Writer](https://feeny.ai/job/devx-technical-writer-cerebras-systems-sunnyvale-rvrgasgk4wnx) — Sunnyvale, CA - [Hardware Technical Analyst](https://feeny.ai/job/hardware-technical-analyst-cerebras-systems-sunnyvale-0cd9ayk6xwx5) — Sunnyvale, CA - [Head of DevRel](https://feeny.ai/job/head-of-devrel-cerebras-systems-sunnyvale-2ahvwfsv5ame) — Sunnyvale, CA - [Cluster Datacenter Manager](https://feeny.ai/job/cluster-datacenter-manager-cerebras-systems-united-states-alabama-xx25gw65zsh2) — United States / Alabama