Distributed Software Engineer

Cerebras Systems has pioneered a groundbreaking chip and system that revolutionizes deep learning applications. Our system empowers ML researchers to achieve unprecedented speeds in training and inference workloads, propelling AI innovation to new horizons. Condor Galaxy 1 (CG-1), a supercomputer set to revolutionize the world of artificial intelligence. With an astounding processing power of 4 ExaFLOPs, 54 million cores, and a cutting-edge 64-node architecture, the CG-1 is the first milestone of a larger project that will redefine the possibilities of AI. The successful completion and deployment of the CG-1, the first of nine powerful supercomputers, is a significant achievement for Cerebras. As we enter phase 2 of the project with CG2, we are taking a bold step towards creating a network of interconnected supercomputers that will collectively deliver a mind-boggling 36 ExaFLOPs of AI compute power upon completion.  The RoleCerebras Systems is a pioneer in large-scale AI Supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer-Scale Cluster technology - a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that are all-things related to cluster.Responsibilities Automate bare-metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switchesAdditional push button workflows for cluster upgrades, downgrades, and security patching with key metrics to minimize downtime on clustersAn orchestration and scheduler system for resource allocation, job submission & placements for a multi-user environment on a clusterSeamless support for both on-premise and cloud mode deployment and operationsA robust system for monitoring, detecting and handling failures for a variety of resources on the clusters (including High Availability of clusters)Broad cluster and job monitoring and visualization capabilities, along with alerting systemsUser facing tools to monitor the status of jobs and collect metricsAdministrator facing tools to manage and operate large clustersSkills and Qualifications Strong track record of software architecture, system design and development for over 6 years or moreStrong track record of development in distributed cluster environment.Strong understanding of Kubernetes (K8s) software ecosystem, Prometheus and GrafanaStrong development skills in GoLang, Python, bashStrong debugging skills with distributed systemsStrong skill to develop tests for the new features and regress old featuresWhy Join CerebrasPeople 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. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPUPublish and open source their cutting-edge AI researchWork on one of the fastest AI supercomputers in the worldEnjoy job stability with startup vitalityOur simple, non-corporate work culture that respects individual beliefsRead our blog: Five Reasons to Join Cerebras in 2024.Apply today and become part of the forefront of groundbreaking advancements in AI.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 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. For more details, click here to review our CCPA disclosure notice.