Senior Staff Security Engineer, Distributed Systems

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Cerebras is seeking a Senior Staff Security Engineer, Distributed Systems to help build out the next generation of security controls and services in our on-prem and cloud clusters.

In this role you will be responsible for driving hardening efforts across every layer of the cluster stack, covering a range of systems at the bare metal, virtualized, and k8s containerized levels.

The ideal candidate brings a combination of wide breadth of knowledge on a variety of systems and networking topics, a pragmatic and results-driven outlook on security, and the flexibility and attention to detail to work in a fast-paced development environment without compromising our security standards.

Responsibilities

• Define core security requirements for distributed systems environments, covering everything from secure boot configurations to workload identity in k8s pods

• Partner with platform, infrastructure, networking, and hardware teams to identify gaps and deliver end-to-end solutions improving the overall security maturity of the environment

• Develop threat models for each part of the cluster stack, outlining trust boundaries and the interplay between first and third-party mechanisms

• Work with engineering leads and architects to bake secure design in from the beginning

• Balance engineering outcomes with security controls, enabling the company to deliver securely quickly

• Document security posture and strategy for technical and nontechnical audiences from both 1p and 3p perspectives

Skills and Qualifications

• 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