Distributed Software Engineer
Cerebras Systems1 day ago
Responsibilities
- Build declarative, CRD-driven automation for bare-metal networking, operating systems, and application software across large clusters.
- Develop push-button cluster installation, upgrades, and security patching using canaries and downtime budgets.
- Build Kubernetes operators for inference workload scheduling, resource locks, priority queues, network topology, and health-aware placement.
- Develop gRPC control-plane services, authorization, admission webhooks, and quota policies for a multi-tenant fleet.
- Build metrics and log pipelines and exporters for wafer-scale systems, servers, and network fabric, with SLOs and alerting.
- Implement failure detection, highly available control planes, automated recovery, and CLIs, APIs, and an MCP gateway for fleet access.
Requirements
- 5+ years of experience building and operating production distributed systems or infrastructure software.
- Production-quality experience with Go and Python.
- Deep Kubernetes experience, including controllers, operators, CRDs, reconciliation semantics, informer caches, admission webhooks, and RBAC.
- Strong debugging skills across distributed systems, Linux, and networking.
- Practitioner-level Prometheus and Grafana experience, including PromQL, exporter design, cardinality discipline, and useful alerts.
- Ability to work independently in a large, fast-moving, incompletely documented environment and drive work across team boundaries.
- Demonstrated use of AI coding agents with the judgment to verify their output.
- Preferred experience includes bare-metal or HPC fleet operations, scheduler internals, RDMA/RoCE, eBPF networking, Ceph, NVMe-oF, etcd and HA upgrades, or inference serving stacks; ML research experience is not required.
Benefits
- Opportunity to work on a breakthrough AI platform and one of the fastest AI supercomputers.
- Opportunities to publish and open source cutting-edge AI research.
- Job stability with startup vitality and a simple, non-corporate work culture.
- Cerebras is committed to an equal and diverse work environment with continuous learning, growth, and support.
Tech Stack
Categories
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.