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About the Role

Cerebras Systems builds the world's largest AI chip, enabling industry-leading training and inference speeds that transform AI application user experiences and unlock real-time iteration. We partner with leading AI organizations, including OpenAI, to deploy massive-scale AI infrastructure.

Responsibilities

• Contribute to the development and maintenance of CICD pipelines, ensuring reliable and efficient build, test, and release workflows.
• Manage artifact lifecycle systems including versioning, storage, distribution, and dependency management.
• Partner with development teams to design and improve code review workflows, branching strategies, and automated integration processes.
• Provision, monitor, and optimize cloud infrastructure to support CI workloads, balancing cost efficiency with performance and reliability.
• Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing lasting fixes.
• Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
• Contribute to the company’s efforts on AI tooling to boost engineering productivity efficiently.

Requirements

• 2-5 years of professional experience in a DevOps, infrastructure, or software engineering role.
• Familiarity with CICD systems and hands-on experience in building or maintaining automated build and 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 systems, code review processes, and repository management.
• Foundational knowledge of operating system concepts (Linux/Unix), networking fundamentals, and scripting for automation.
• Experience with containerization and container 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.
• Willingness to participate in on-call and incident response as part of the Dev Productivity org.

Skills

• CICD systems
• Artifact repository management
• Software packaging
• Cloud computing platforms (AWS preferred)
• Programmatic resource provisioning
• Distributed version control systems
• Code review processes
• Repository management
• Operating system concepts (Linux/Unix)
• Networking fundamentals
• Scripting for automation
• Containerization
• Container orchestration (Kubernetes preferred)
• Troubleshooting
• Infrastructure-as-code tools and practices (preferred)
• Python scripting (preferred)
• Shell scripting (preferred)
• Build systems
• Build graph optimization
• Observability practices (monitoring, logging, alerting)

Location

• Remote

Work Type

• Full-time

Experience Level

• 2-5 years of professional experience

Education Level

• BS/MS in Computer Science or a related field, or equivalent practical experience

Benefits

• 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.

About the Company

• Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs.
• Our architecture delivers industry-leading training and inference speeds, over 10 times faster than GPU-based hyperscale cloud inference services.
• We work with 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.

Equal Opportunity

• 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 strive to build a work environment that empowers people to do their best work through continuous learning, growth, and support of those around them.