Teams at xAI

Design, build, and optimize massive GPU clusters and low-level CUDA kernels for AI training and inference. Work on Linux kernel internals, virtualization (KVM, Firecracker), custom orchestration, profiling, and infrastructure-as-code to maximize performance and scalability for production AI workloads.

Design, implement, and operate core networking software for a large-scale GPU datacenter fabric. Develop routing and traffic-engineering algorithms, real-time switch software, prototypes and experiments, deployment and CI tooling, monitoring, and testing to maximize performance and reliability of AI training infrastructure.

The HR Business Partner supports engineering teams by managing employee relations, performance management, and organizational development, aiding in employee onboarding and career development.