Member of Technical Staff - Macrohard / Computer Control - Compute Infrastructure (Virtualization, Orchestration) at xAI
Location: Palo Alto Employment Type: Full-time Salary: Not specified
About the Role
About the Team The Computer Use Agents team aims to develop LLM agents that can use computers the way (or better) human use today. The team will build the base towards the goal of Macrohard – an autonomous AI software company. About the Role In this role you will: Build and manage massive clusters to host, persist, and serve CUA at scale. Develop and contribute to our in-house container orchestration platform, pushing scalability far beyond the capabilities of systems like Kubernetes. Collaborate closely with research teams to build and optimize clusters for large scale training runs and applications built around CUA. Exceptional candidates may have: Deep technical expertise in virtualization (KVM, Xen, QEMU) and containerization technologies (e.g., Kata, Firecracker, gVisor, Sysbox) with industrial experience in Linux kernel development, system programming, or low-level software engineering. Strong proficiency in systems programming languages like C/C++ and Rust. Proven ability to profile and debug complex system-level performance issues, with a strong grasp of Linux resource management, scheduling, and memory management. Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment (2): in a language of your choice to solve a logical, algorithmic problem meant to be solved in 40 minutes setting. System design: designing a scalable, reliable system for one of the real world problem demonstrating first-principles thinking by breaking down requirements, justifying architectural choices, and addressing challenges. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USD
About xAI:
xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
- 🚀 Building Grok - advanced AI assistant
- 💻 Operating world-class AI supercomputing clusters
- 🎯 Small, highly motivated team focused on engineering excellence
- 🏢 Flat organizational structure with hands-on leadership
Founded by Elon Musk
Contact
Apply on Greenhouse
Apply: https://job-boards.greenhouse.io/xai/jobs/4916844007