Cerebras Systems
Cluster Operations Software Engineer
Sunnyvale, CA · Senior
Sponsorship not specifiedDetected 23 days ago
PythonGoDistributed SystemsAWSGCPAzureDockerLinuxMachine LearningIncident ResponseComplianceTCP/IPCommunicationCollaboration
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- These clusters would provide the candidate with an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power.
- You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives.
- The ideal candidate is a proactive problem-solver with expertise in large-scale compute infrastructure, dependable and an advocate for customer success.
Responsibilities
- Build and own software solutions that power cluster operations, including monitoring platforms, workflow automation systems, operational dashboards, and reliability tooling.
- Collaborate with cross-functional teams to translate operational requirements into scalable O&M products and platform capabilities.
- Develop APIs, automation services, and integrations that improve operational visibility, incident response, and fleet management across global AI infrastructure.
- Manage and operate multiple advanced AI compute infrastructure clusters.
- Provide 24/7 monitoring and support, leveraging automated tools and performing hands-on troubleshooting as needed.
- Handle engineering escalations and collaborate with other teams to resolve complex technical challenges.
- Proficient in Python and Go, with experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments.
Requirements
- Experience and Expertise in distributed systems is a must.
- Extensive knowledge of Docker containers and container orchestration platforms like k8s.
- Proven ability to troubleshoot and resolve complex technical issues in a timely and efficient manner.
- Experience with monitoring and alerting systems.
- Ability to work effectively in a fast-paced environment.
- Knowledge of technologies like Ethernet, RoCE, TCP/IP, etc. is desired.
- Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure).
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Benefits
- Monitor and oversee cluster health, proactively identifying and resolving potential issues.
- 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing.
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.