Cerebras Systems
Distributed Software Engineer
Toronto, CAN · Senior
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- We stand clusters up from bare metal, schedule training and inference workloads across the fleet, keep it healthy, and make it observable to users, operators, and increasingly to AI agents.
Responsibilities
- 5+ years building and operating production distributed systems or infrastructure software
- Prometheus and Grafana as a practitioner: PromQL, exporter design, cardinality discipline, useful alerts
- This environment is large, fast-moving, and not fully documented, so we need engineers who build their own context, decide, and drive work across team boundaries.
- People who are serious about software make their own hardware.
- Build a breakthrough AI platform beyond the constraints of the GPU.
Requirements
- Real Kubernetes depth: you have written or debugged controllers and operators, and you understand CRDs, reconciliation semantics, informer caches, admission webhooks, and RBAC
Nice to have
- bare-metal or HPC fleet operations, scheduler internals, RDMA/RoCE and eBPF networking, Ceph or NVMe-oF, etcd and HA upgrades, inference serving stacks.
- ML research experience is not required.
- With dozens of model releases and rapid growth, we've reached an inflection point in our business.
- Why Join Cerebras
- Members of our team tell us there are five main reasons they joined Cerebras:
- 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.
Skills
- Production-quality Go and Python
- Strong debugging skills across distributed systems, Linux, and networking
- Prometheus and Grafana as a practitioner:
- PromQL, exporter design, cardinality discipline, useful alerts
- Strong self-driving capability.
- Learning speed matters more here than familiarity with our stack.
- Demonstrated adoption of AI in your engineering workflow:
- active use of coding agents, a view on where they help and where they mislead, and the rigor to verify what they produce.
Benefits
- Kubernetes operators that schedule large inference workload: resource locks, priority queues, network topology, and health-aware placement
Company info
- At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.