Join the Compute Infrastructure team at xAI, responsible for designing, building, and operating massive-scale clusters and orchestration platforms. You will push the boundaries of container orchestration, manage exascale compute resources, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure.
Responsibilities:
- Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.
- Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.
- Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.
- Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.
- Own end-to-end infrastructure initiatives with first-principles design, rigorous testing, automation, and continuous optimization to support frontier AI compute demands.
Basic Qualifications:
- Deep expertise in virtualization technologies (KVM, Xen, QEMU) and advanced containerization/sandboxing (Kata, Firecracker, gVisor, Sysbox, or equivalent).
- Strong proficiency in systems programming languages such as C/C++ and Rust.
- Proven track record profiling, debugging, and optimizing complex system-level performance issues, with deep knowledge of Linux kernel internals, resource management, scheduling, memory management, and low-level engineering.
- Hands-on experience building or significantly enhancing distributed compute platforms, orchestration systems, or high-performance infrastructure at scale.
Preferred Skills and Experience:
- Experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads.
- Proven track record operating or designing large-scale AI training/inference clusters (GPU/TPU scale).
- Experience with custom runtimes, isolation techniques, or bespoke platforms for specialized AI compute.
- Familiarity with performance tools, tracing, and debugging in production distributed environments.
Compensation and Benefits:
$180,000 – $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
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