Distributed Systems Security Engineer
Cerebras Systems17 hours ago
Responsibilities
- Define security requirements for distributed systems, including secure boot and Kubernetes pod workload identity.
- Partner with platform, infrastructure, networking, and hardware teams to identify gaps and deliver end-to-end security solutions.
- Develop threat models covering cluster-stack components, trust boundaries, and first- and third-party mechanisms.
- Work with engineering leads and architects to incorporate secure design from the start.
- Balance security controls with engineering outcomes to enable rapid secure delivery.
- Document security posture and strategy for technical and nontechnical audiences.
Requirements
- 8–10 years of experience with heterogeneous compute environments, Kubernetes hardening, and networked systems security.
- 10+ years of experience with high-performance clusters.
- Strong hands-on engineering experience in on-premises and cloud environments.
- Ability to harden both modern Kubernetes deployments and bare-metal instances across fragmented ecosystems.
- Familiarity with AWS, Kubernetes, and distributed compute systems.
- Strong written communication skills and the ability to make security concepts approachable to non-specialists.
Benefits
- Opportunity to build a breakthrough AI platform beyond GPU constraints.
- Opportunity to publish and open-source AI research.
- Work on one of the world's fastest AI supercomputers.
- Job stability with startup vitality.
- Simple, non-corporate work culture with respect for individual beliefs.
- Equal and diverse work environment supporting continuous learning, growth, and collaboration.
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.