--- title: 'Site Reliability Engineer - Ops & Automation at Cerebras Systems' canonical: 'https://feeny.ai/job/site-reliability-engineer-ops-automation-cerebras-systems-united-states-and-tr37v1rj5gx8' type: 'job' last_seen: '2026-09-15' --- # Site Reliability Engineer - Ops & Automation at Cerebras Systems - **Company:** [Cerebras Systems](https://feeny.ai/companies/cerebras-systems) - **Location:** United States and, Canada - **Employment:** full-time - **Posted:** 2025-10-14 - **Last confirmed live:** 2026-09-15 - **Apply:** https://jobs.ashbyhq.com/cerebras/ae5daf29-d7d0-440e-b41f-c6f0a67489f3/application **Skills:** SRE, Kubernetes, Python, Go, Prometheus, Grafana, Observability, GitOps, Argo CD, Flux, Bazel, Capacity planning > Join Cerebras Systems as a Site Reliability Engineer to support high-performance AI inference infrastructure. You will own production systems, build self-service continuous delivery pipelines, and develop automation tools to minimize operational toil while collaborating with Staff SREs. ## 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. About the Role: We are building a high-performance SRE function to support one of the world’s fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE), helping deliver infrastructure for frontier-class models from leading model builders such as OpenAI. This role offers immediate ownership of real production systems at a growing scale, direct mentorship from seasoned engineers, and close collaboration with incoming Staff SREs who will focus on long-term automation. After ~1 month of shared hands-on operations with the Staff engineers, you’ll primarily operate the current setup, bring up new capacity in high-stakes environments and help bring new continuous delivery pipelines into production use. If you thrive in high-ownership SRE roles at scale and want to help shape a team from the ground up in cutting-edge AI Inference infrastructure, this is your chance. This role does not require 24/7 on-call rotations. ## Key Responsibilities - Remain hands-on with operational execution (releases, capacity changes, cluster upgrades) over the next year as we build robust continuous delivery pipelines and self-service capabilities - Contribute to the development of self-service CD pipelines for key workflows using our stack: Kubernetes, Bazel, Prometheus/Grafana/InfluxDB, Python, and Go. - Build reusable automation and internal developer tools that minimize operational toil and cross-team friction - Develop and extend telemetry, observability and alerting solutions to ensure operational reliability at scale - Collaborate with Cluster Ops and development teams to identify high-impact automation opportunities and iterate quickly - Contribute to reliability practices (SLOs, post-mortems, capacity planning) Required Experience & Skills - 2-4+ years in SRE with a strong operations or automation focus - Production Kubernetes experience - Solid Python or Go for building tools and automation - Proficiency with Prometheus, Grafana, and observability-driven workflows - Ability to measure and communicate impact – reliability metrics, operational toil, velocity gains Nice-to-Have - Hands-on GitOps expertise, Argo CD / Flux or equivalent, is a plus - Experience with building continuous delivery pipelines is a strong plus - Experience with Bazel or similar build systems is a strong plus. - Familiarity with capacity planning, on-prem or multi-datacenter environments Location - SF Bay Area - Toronto ## 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. This website or its third-party tools process personal data. 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 - [Detection and Response Platform Engineer](https://feeny.ai/job/detection-and-response-platform-engineer-cerebras-systems-sunnyvale-gx4sa9aschnm) — Sunnyvale, CA - [Physical Security Lead, Manufacturing Operations](https://feeny.ai/job/physical-security-lead-manufacturing-operations-cerebras-systems-sunnyvale-s741d6wava3v) — Sunnyvale, CA - [Staff AI Engineer – Business Systems](https://feeny.ai/job/staff-ai-engineer-business-systems-cerebras-systems-sunnyvale-vgybt0ehv5wt) — Sunnyvale, CA - [Senior ERP Systems Administrator](https://feeny.ai/job/senior-erp-systems-administrator-cerebras-systems-sunnyvale-z6p5ssmrtw01) — Sunnyvale, CA - [DevOps Engineer Intern - PEY](https://feeny.ai/job/devops-engineer-intern-pey-cerebras-systems-toronto-8h2bj7zw2bd2) — Toronto, Canada - [Senior Operations Accountant](https://feeny.ai/job/senior-operations-accountant-cerebras-systems-sunnyvale-1sfperr2mr6m) — Sunnyvale, CA - [Software Engineer - Host and Network IO](https://feeny.ai/job/software-engineer-host-and-network-io-cerebras-systems-sunnyvale-tqykyeenvej3) — Sunnyvale, CA - [Staff GPU Inference SDET](https://feeny.ai/job/staff-gpu-inference-sdet-cerebras-systems-sunnyvale-p8ke5xg4qba1) — Sunnyvale, CA - [Network Security Engineer](https://feeny.ai/job/network-security-engineer-cerebras-systems-sunnyvale-s1q0rza0gbsf) — Sunnyvale, CA - [Distributed Software Engineer](https://feeny.ai/job/distributed-software-engineer-cerebras-systems-toronto-2y0byqqxk57d) — Toronto, Canada