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; 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.

Design, build, and evolve CI/CD pipelines that support reliable and effective build, test, and release workflows across the organization. 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.

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. 7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area. ~ Deep hands-on experience with CI/CD systems and building or evolving automated build, test, and deployment infrastructure. ~ Experience with artifact repositories, software packaging, dependency management, and reproducible build concepts. ~ Experience with cloud computing platforms, with AWS preferred,



and programmatic infrastructure provisioning. ~ Strong experience with distributed version control systems, code review workflows, branching strategies, and repository management. ~ Strong understanding of Linux/Unix systems, networking fundamentals, and scripting or programming for automation. ~ Demonstrated experience leading technical initiatives across multiple teams and driving improvements to developer infrastructure at organizational scale. ~ Ability to identify architectural bottlenecks, evaluate tradeoffs, and drive long-term improvements rather than only addressing operational issues. ~ Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.

Experience with observability practices including monitoring, logging, alerting, and performance analysis.

Experience building internal developer platforms, self-service tooling, or developer-facing infrastructure.

Experience applying AI/LLM tooling to engineering workflows or developer productivity. BS/MS in Computer Science or a related field, or equivalent practical experience. 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. 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. # Our simple, non-corporate work culture that respects individual beliefs. 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.

📌 Staff Software Engineer - Tools & Infrastructure / DevOps (Lower Sackville)
🏢 Cerebras Systems
📍 Lower Sackville