We're Hiring!

We're always looking for exceptional talent to help drive innovation in AI, infrastructure and next-generation computing. If you're interested in one of our opportunities, please submit your application along with your resume. 

AI Engineer (ML Systems & Infrastructure)

This role focuses on large-scale system infrastructure rather than model research. You will work on the core foundations that power large-scale AI training and inference systems, including Kubernetes cluster management, RDMA networking, unified KV Cache architecture, observability platforms, distributed systems, GPU orchestration, and kernel optimization. 

Chief AI & Infrastructure Scientist

This role extends far beyond traditional AI research. The successful candidate will bridge Foundation Models, Large Language Models (LLMs), AI Infrastructure, HPC, Networking, Distributed Computing, and Silicon Systems, while leading the development of commercially successful AI products and platforms.