Software Engineer - Tools & Infrastructure / DevOps
Cerebras · Sunnyvale, CA
About this role
## About Cerebras Cerebras Systems builds large-scale AI hardware designed to deliver industry-leading training and inference speeds—enabling real-time iteration and more agentic computation. The team works with leading model labs, global enterprises, and AI-native startups. ## Responsibilities - Contribute to the development and maintenance of CI/CD pipelines to ensure reliable, efficient build, test, and release workflows. - Manage artifact lifecycle systems (versioning, storage, distribution, and dependency management) to support reproducible builds at scale. - Partner with development teams to improve code review workflows, branching strategies, and automated integration processes. - Provision, monitor, and optimize cloud infrastructure for CI workloads, balancing cost, performance, and reliability. - Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues; drive root-cause analysis and implement lasting fixes. - Build internal build/test infrastructure, tooling, and automation to improve developer velocity and productivity. - Contribute to internal AI tooling efforts to boost engineering productivity. ## Skills & Qualifications - 4–8 years of professional experience in DevOps, infrastructure, or software engineering. - Familiarity with CI/CD systems and hands-on experience building or maintaining automated build/deployment pipelines. - Understanding of artifact repository management and software packaging concepts. - Experience with cloud computing platforms (AWS preferred) and programmatic resource provisioning. - Proficiency with distributed version control, code review processes, and repository management. - Foundational knowledge of Linux/Unix, networking fundamentals, and automation scripting. - Experience with containerization and orchestration (Kubernetes preferred). - Strong troubleshooting skills and a methodical approach to debugging distributed systems. - Curiosity about how large-scale infrastructure is built, operated, and improved. - Ability to participate in on-call and incident response for the Dev Productivity org. ## Preferred Qualifications - Familiarity with infrastructure-as-code tools and practices. - Scripting proficiency in Python or Shell for build automation and tooling. - Exposure to build systems and build graph optimization. - Understanding of observability (monitoring, logging, alerting). - BS/MS in Computer Science or related field, or equivalent practical experience. ## Why Join People who are serious about software build their own hardware. Cerebras is at an inflection point with rapid growth and frequent model releases—helping unlock new opportunities for the AI industry.
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