Nonprofit AI research organization for transparent evaluation and governance.

GPU Infrastructure Specialist

TAIRC is seeking a GPU Infrastructure Specialist to support GPU and hardware accelerator infrastructure for AI workloads. The role manages GPU clusters, optimizes utilization for multi-GPU training, advises researchers on hardware requirements, and ensures hardware reliability.

Cloud / Hybrid Infrastructure Engineer

TAIRC is seeking a Cloud / Hybrid Infrastructure Engineer to manage infrastructure across on-premises data centers and cloud providers. The role focuses on designing hybrid architectures, managing secure and reliable deployments, automating provisioning and scaling, and monitoring performance and resource utilization.

Director of Engineering

TAIRC is seeking a Director of Engineering to lead its technical organization. The role focuses on managing software and hardware engineering teams, transforming research prototypes into scalable platforms, developing engineering strategies, ensuring compliance, and strengthening technical talent and processes.

Cognitive Systems Researcher

TAIRC is seeking a Cognitive Systems Researcher for its Core AI Research department. The role focuses on developing AI systems with long-term memory and reasoning capabilities, researching cognitive processes, implementing symbolic and neuro-symbolic methods, and collaborating with neuroscientists and cognitive scientists.

Human-Resources & Talent-Acquisition Specialist

TAIRC is seeking a Human-Resources & Talent-Acquisition Specialist. The role focuses on developing recruitment strategies, sourcing and evaluating candidates, coordinating selection and onboarding, maintaining talent relationships, and ensuring compliance with recruitment policies.

Machine-Learning Research Engineer

TAIRC is an organization with a Core AI Research department seeking a Machine-Learning Research Engineer to bridge research and production by translating prototypes into practical systems. The role involves developing, optimizing, deploying, documenting, and maintaining machine-learning models while collaborating with researchers and product teams.