Distributed Systems Security Engineer

Cerebras Systems•Sunnyvale, CA

17h

About The Position

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 Distributed Systems Security Engineer 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.

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
Strong written communication skills, with the ability to make security concepts approachable for non-specialists.

Nice To Haves

Familiarity with AWS, Kubernetes, and distributed compute systems a plus

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