Distributed Systems Security Engineer
Cerebras · Sunnyvale, CA
CHECKED 6H AGO
Infrastructureremotesenior
At a glance
Highlights
- Build next-gen security controls for large-scale AI clusters.
- Drive hardening efforts across every layer of the cluster stack.
- Work on one of the world's fastest AI supercomputers.
Ideal candidate
Pragmatic, detail-oriented security engineer with broad systems breadth who thrives in fast-paced environments and cares about baking secure design in early while enabling teams to ship quickly.
Requirements
- 8-10 years of experience with heterogenous compute environments, kubernetes hardening, and general networked system security
- 10+ years with HPCs (high performance clusters)
- Strong hands-on engineering abilities in on-prem and cloud environments
- Ability to work in fragmented ecosystems, hardening both modern k8s deployments as well as bare metal instances
- Familiarity with AWS, Kubernetes, and distributed compute systems a plus
- Strong written communication skills, with the ability to make security concepts approachable for non-specialists
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed