The HR Business Partner at xAI works collaboratively with leaders in the AI Tutoring department to enhance employee experience and deliver innovative HR support. Responsibilities include overseeing performance management, employee relations, organizational design, and development, while ensuring alignment with the company's mission to foster a great workplace culture.

The Corporate Finance Lead will shape the finance strategy for xAI, driving operational KPI modeling and financial analysis to support global scaling. Responsibilities include building financial models, optimizing workflows, delivering actionable recommendations, and managing high-stakes projects with cross-functional teams.

The Protective Intelligence Analyst at xAI will identify and assess threats to the company's assets, assist in managing an insider threat program, monitor communications for potential risks, conduct research and data analysis, and create security awareness within the organization.

The AI Engineer & Researcher will develop and optimize low-level CUDA kernel operations for AI inference and training software, utilizing GPU memory hierarchy and profiling techniques. Responsibilities include building high-performance GeMM CUDA kernels, debugging, and innovating based on deep learning literature to enhance performance.

As a Commercial Counsel at xAI, you will draft and negotiate commercial and licensing agreements, partner with technical and commercial teams, and create efficient contracting processes. You will also provide legal support across the department, leading the commercial team and contributing directly to the company's mission.

The Software Engineer will design and develop high-quality distributed systems, focusing on backend infrastructure and processing data. Key responsibilities include writing Python bindings, API design, and working with a range of technologies to ensure system reliability and scalability in a dynamic startup environment.

The Operations Associate will manage day-to-day operations, oversee recruitment strategies, support HR initiatives, monitor expenses, and manage facilities-related projects. This role ensures operational efficiency and a functional workspace, allowing the team to focus on innovation.

The Network Engineer will work onsite, troubleshooting physical and logical network issues, automating tasks, and improving operational procedures. Responsibilities include network monitoring, managing alerts, and supporting project work. The role requires collaboration with other engineers and a participation in on-call rotations.

The Software Engineer - Data Infrastructure will build high-throughput data processing systems and manage workloads across large cloud compute clusters, focusing on pre-processing datasets for AI training. Ideal candidates will have strong engineering skills and experience with various data modalities and distributed systems.

We are looking for a frontend engineer & UI/UX designer with expertise in TypeScript and React to work in a fast-paced start-up environment. Responsibilities include developing high-quality software and designing intuitive user interfaces. Candidates should also be knowledgeable in modern web technologies and accessibility best practices.

As a Software Engineer at xAI, you will develop software and services to manage and monitor network infrastructure, focusing on automation and reliability. You will collaborate with network engineers, implement Infrastructure as Code best practices, and work on metrics to prioritize team efforts.

The Controls Engineer will design, implement, and optimize advanced data center infrastructure systems, ensuring stability and efficiency through collaboration with operations and maintenance teams. Responsibilities include overseeing the operation of critical systems, developing dashboards for monitoring power usage, and managing automated controls for safety systems.

Recruiting Coordinator at xAI will manage interview logistics, track candidate data, and ensure positive candidate experiences. The role requires attention to detail, organizational skills, and adaptability in a fast-paced environment.

The Technical Recruiter at xAI will manage the end-to-end recruitment process for technical roles, collaborate with technical leaders to understand hiring needs, create sourcing strategies, and ensure a strong candidate experience. They will leverage data to improve recruitment efficiency and monitor hiring trends in a fast-paced, startup environment.

As an AI Quality Lead, you'll ensure high standards in data quality for AI models by implementing standardized workflows and conducting audits. You will lead quality training practices, manage client expectations, and drive process improvements while mentoring teams to meet quality KPIs.

The IT/Network Administrator will manage and optimize various tools and cloud services, administer employee laptops with a focus on security, and handle network operations. Responsibilities include diagnosing network issues, providing support for IT policies, onboarding/offboarding processes, and collaborating on technical projects to enhance IT efficiencies within the organization.

In the Financial Analyst role at xAI, you will manage accounting workflows, oversee working capital operations, and support financial reporting while collaborating with cross-functional teams. This job requires strong analytical skills and a hands-on approach to financial challenges in a fast-paced environment.

The Payroll Lead will manage payroll operations for a large employee base across multiple regions, ensuring compliance and accuracy. They will leverage their expertise in Rippling to optimize payroll processes and collaborate with teams to resolve payroll-related issues, driving strategic improvements as the organization grows.

The AI Safety Engineer will identify safety shortcomings in AI systems, adapt evaluations for risk assessment, implement ML safety methods, collaborate with teams to ensure safety measures are effective, and innovate to enhance AI's understanding of the universe.

The AI Engineer & Researcher will build end-to-end features, develop data generation methods, monitor data quality, and collaborate cross-functionally. This role focuses on enhancing AI system capabilities and ensuring a secure, scalable data collection platform.