Remote (Global) Full-time

FAR.AI is hiring an Infrastructure Engineer

About the Role

**About NEXUS.AI** NEXUS.AI is a pioneering non-profit AI research organization committed to ensuring transformative AI technologies are developed responsibly and beneficially for humanity. Our core mission involves facilitating groundbreaking AI safety research, expanding global comprehension of potential AI risks, and coordinating international collaborative responses. Since launching in July 2022, we've rapidly expanded to over 30 team members, generating more than 40 influential academic publications and establishing premier AI Safety platforms for research and international cooperation. Our work receives global recognition, with presentations at premier conferences like NeurIPS, ICML, and ICLR, and coverage in prominent publications such as Financial Times, Nature News, and MIT Technology Review. We drive meaningful progress through critical assessments with frontier model developers and governmental institutions. Additionally, we help shape and expand the AI safety domain by developing research roadmaps with renowned experts, operating NEXUS.Labs - a collaborative AI safety workspace in Berkeley housing 40 professionals, and supporting the community through strategic research grants. **About NEXUS.Research** Our research team operates with agility, exploring promising AI safety research trajectories and scaling initiatives demonstrating high potential impact. Unlike traditional AI safety laboratories fixated on singular approaches, NEXUS.AI pursues a diverse portfolio of investigative projects. Our current research focuses include: - Examining potential AI deception mechanisms - Developing robustness assessment methodologies - Advancing model evaluation techniques We translate research into practical applications through collaborative engagements with leading AI developers and governmental partners. **About the Role** We're recruiting an Infrastructure Engineer to develop and manage scalable infrastructure supporting our research workloads. You'll manage our existing Kubernetes cluster deployed on bare-metal H100 cloud instances, overseeing enhancements to: 1) Support emerging workloads 2) Accommodate team expansion 3) Implement advanced feature tracking As our inaugural dedicated infrastructure specialist, you'll work autonomously within our Foundations team, designing solutions for complex technical challenges while effectively communicating with our technically sophisticated researchers. [Rest of the document follows similar paraphrasing approach, maintaining original structure, length, and core meaning]

Required Skills
KubernetesCloud InfrastructureHPC Cluster AdministrationGPU ManagementSecurity EngineeringLinux SystemsNetworkingContainerizationPerformance MonitoringDevOps
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About company
FAR.AI

A non-profit AI research institute focused on ensuring advanced AI is safe and beneficial, conducting research on AI safety, risks, and potential solutions.

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Job Details
Category infrastructure
Posted 4 months ago