Cerebras Systems

Software Engineer - Tools & Infrastructure / DevOps

Headquarters/Sunnyvale Office

Sponsorship not specifiedDetected 9 days ago

PythonCode ReviewAWSCloud PlatformsKubernetesLinuxDevOpsIncident ResponseComplianceControls

About the role

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.
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.

Contribute to the development and maintenance of CICD pipelines, ensuring reliable and efficient build, test, and release workflows across the organization.
Help manage artifact lifecycle systems including versioning, storage, distribution, and dependency management to support reproducible builds at scale.
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.
Familiarity with CICD systems and hands-on experiences in building or maintaining automated build and deployment pipelines.
Exposure to build systems and build graph optimization.
People who are serious about software make their own hardware.
Build a breakthrough AI platform beyond the constraints of the GPU.

Proficiency with distributed version control systems, code review processes, and repository management.
Scripting proficiency in Python or Shell for build automation and tooling.

Experience with cloud computing platforms (AWS preferred) and programmatic resource provisioning.
Experience with containerization and container orchestration (Kubernetes preferred).
Preferred Skills & Qualifications

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.

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.
Being part of oncall and incident response task force of Dev Productivity org.
At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry.

This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.