The opportunity
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.
What you'll do
Design, build, and evolve CI/CD pipelines that support reliable and efficient: build, test, and release workflows across the organization.
Own and improve artifact lifecycle systems, including versioning, storage,: distribution, dependency management, and 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 supporting CI: workloads, balancing cost, performance, scalability, and reliability.
Troubleshoot complex build failures, pipeline bottlenecks, and infrastructure: issues, driving root-cause analysis and implementing durable fixes.
Design and drive improvements to internal build infrastructure, test: infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
What they're looking for
- Identify systemic bottlenecks across developer workflows and lead: architectural improvements to developer infrastructure.
- Contribute to the company’s efforts around AI tooling to improve engineering: productivity and automate repetitive workflows.
- Provide technical leadership across projects, influence engineering: standards, and mentor other engineers within the Developer Productivity organization.
- Participate in on-call and incident response for Developer Productivity systems and services.
