Cerebras Systems
Senior Inference Platform SDET
US and Canada Offices · Senior
Sponsorship not specifiedDetected 8 days ago
PythonDistributed SystemsCloud PlatformsKubernetesCI/CDJenkinsNginxMachine LearningComplianceSystems EngineeringLoad BalancingCommunicationCollaborationProblem SolvingMentoringArgo CD
About the role
- We are looking for an Inference Platform SDET to join the Inference Service Quality team at Cerebras and work on the inference platform.
- This team sits at the intersection of distributed systems, cloud and cluster infrastructure, and the software stack that serves the world's fastest AI inference.
- This is an excellent opportunity for engineers who enjoy infrastructure, automation, and debugging across the full deployment stack, and who want to ensure that a platform serving inference at massive scale stays fast, reliable, and production-ready.
Responsibilities
- Design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.
- Validate the platform across environments - from cloud-managed Kubernetes to deployments running on Cerebras hardware.
- Collaborate closely with the Inference Platform development team to ensure new features and platform capabilities ship reliably.
- Develop and maintain testbeds used to validate platform performance, scalability, and reliability.
- Partner with engineering teams to ensure high-quality, production-ready releases of the Cerebras Inference Platform.
- Experience building automation tools, testing frameworks, or internal developer tooling.
Requirements
- 5+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
- Hands-on experience with CI/CD systems (e.g., Jenkins)
- Hands-on experience with Kubernetes and container orchestration in a real production or staging environment.
- Experience with cloud-managed Kubernetes such as Amazon EKS.
- Experience with GitOps/deployment tooling (e.g., ArgoCD).
- Experience with build systems such as Bazel.
- Experience with cluster tooling and operations (e.g., k9s).
- Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads
Nice to have
- Strong programming skills in Python and/or Go (experience with both is a plus).
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Company info
- 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.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
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This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.