Jobs

As a Member of Technical Staff, AI Supercomputing at Radical Numerics, you will be instrumental in designing, building, and operating the GPU supercomputing environment that powers large-scale AI training and inference for biological world models. This role demands deep operational instincts combined with a strong interest in modern machine learning, focusing on delivering high-performance, reliable, and cost-efficient compute. You will be responsible for automating GPU clusters, building unified compute interfaces, extending scheduling systems, and maximizing hardware efficiency to accelerate scientific discovery. We are looking for someone with a proven track record in operating large-scale GPU clusters and container orchestration systems, proficient in backend languages like Python or Rust, and possessing a strong understanding of deep learning frameworks and their systems internals.