The Controls Engineer will manage and optimize data center control systems, including BMS and SCADA, ensuring efficient operations and coordination with utility providers.

Develop high-performance frontends using React and Typescript for autonomous agents, collaborating across teams to innovate user interfaces and tools for AI systems.

The Recruiting Coordinator will schedule interviews, manage candidate logistics, track candidate data, and enhance the interview experience while ensuring high-quality interactions with stakeholders.

The Recruiting Coordinator will manage candidate interviews, track data, and enhance the interview experience while ensuring effective communication with stakeholders.

The AI Quality Lead will standardize data quality processes, conduct audits, manage team performance, and collaborate with stakeholders to improve AI training workflows.

The Senior Logistics Lead will oversee logistics operations, develop strategies, manage teams, vendors, and projects, and ensure compliance with regulations.

As Payroll Lead, oversee payroll operations for 1,000+ employees globally, manage payments, benefits, compliance, and optimize systems using Rippling.

Design and operate large-scale data center wireless infrastructure, utilizing strong RF knowledge and Python for automation tasks. Participate in on-call rotation for network reliability.

The AI Safety Engineer will identify safety shortcomings, implement methods from ML safety literature, and ensure safety measures across development pipelines.

You will create consumer products using xAI's models, focusing on web technologies and delivering excellent user experiences on a global scale.

The role involves developing large scale networks for AI/HPC, optimizing performance, designing backend/frontend networks, and improving training/inference efficiencies.

The Executive Assistant will support the Engineering Executive Leadership team by managing schedules, coordinating meetings, handling travel arrangements, and providing project management and administrative support.

RDMA Engineers at xAI design and optimize low-latency networking solutions for GPU supercomputing clusters, enhancing performance and scalability for AI workloads.

The Infrastructure Engineer will manage GPU supercomputing clusters, implement IaC best practices, and ensure secure service delivery across environments.

The Front Desk Ambassador greets visitors, manages site access, monitors systems, and facilitates check-in/out processes, ensuring only authorized personnel access the site.

The Human Data Project Lead will oversee data integrity and AI model development, manage projects, ensure collaboration among teams, and enhance model capabilities in diverse domains while maintaining data quality.

The Product Data Engineer at xAI will focus on using models and algorithms to create scalable consumer products, ensuring quality and data integrity.

The role involves leveraging AI models to create consumer products, designing interfaces, and collaborating with researchers to optimize product features.

Join the multimodal team at xAI as a Full Stack Software Engineer, focusing on building user-friendly data management interfaces and research applications in AI. Responsibilities include prototyping, improving research tooling, and collaborating with teams to enhance the user experience.

Design and implement large-scale distributed training systems, optimize GPU utilization, and maintain codebase for AI model training.