Jobs

Hark is seeking a Member of Technical Staff, Infrastructure Compute to lead and manage large-scale GPU computing clusters for AI training and deployment. This high-impact role involves working at the intersection of systems engineering and machine learning infrastructure, focusing on reliability, scalability, and efficiency. The ideal candidate will have 5+ years of experience in infrastructure, systems, or platform engineering, with a strong background in managing GPU clusters and distributed compute environments. You will be responsible for designing IaC, enhancing CI/CD pipelines, and optimizing training infrastructure for 10,000+ GPUs, collaborating closely with ML researchers and engineers.