xAI is building one of the world’s largest AI supercomputers. As part of the Compute Infrastructure team, you will own both the raw GPU supercomputer and the platform layer that runs on top of it, working across the full stack from low‑level GPU kernel optimizations to large‑scale orchestration and virtualization. The role is a broad, high‑impact position that directly accelerates Grok’s training speed and overall AI progress.
Salary
USD 180,000 - 440,000
Requirements
Skills
Deep low-level systems programming (C/C++ or Rust)
Experience building and operating high performance exabyte scale storage systems
Strong experience with large-scale GPU clusters or distributed compute infrastructure at production scale
Hands‑on work with GPU kernel optimization (CUTLASS, custom kernels, Nsight profiling)
Experience with Linux kernel internals, scheduling, virtualization, or large-scale orchestration
Track record of building or running high-performance infrastructure for AI workloads (training or inference platforms)
Ability to reason from first principles and optimize for both memory-bound and compute-bound scenarios
Responsibilities
Design, build, and optimize massive GPU clusters for extreme-scale training and inference workloads
Develop and tune low-level CUDA kernels (GeMM, Attention, etc.), using CUTLASS, Tensor Cores, and Nsight for maximum performance
Work on Linux kernel internals, scheduling, memory management, and resource isolation at cluster scale
Build custom container orchestration, virtualization layers (KVM, Firecracker, etc.), and distributed systems that go beyond standard Kubernetes
Profile, debug, and eliminate bottlenecks across GPU memory hierarchy, networking fabric, filesystems, and multi‑GPU operations
Create and maintain infrastructure‑as‑code, automation, and tools that keep the entire supercomputer reliable and efficient
Collaborate closely with AI research teams to deliver production‑grade performance and scalability