Software Engineer - Training Infrastructure

As a Software Engineer on the Training Infrastructure team, you will architect and lead development of the training platform, supporting top tier research engineers and model developers. You will make key technical decisions for infrastructure enabling developers to deploy, scale, and monitor workloads with high performance and reliability. You will own scheduling, storage, networking, reliability, and observability of technical systems in the training stack. Responsibilities include designing a

Bachelor’s degree or high in Computer Science or related field. Proficiency in Go, with Python experience a plus. Deep expertise with Kubernetes in production environments. Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus. Advanced understanding of distributed systems concepts and performance tuning. Proven experience designing observability systems. Experience with ML/AI workloads and MLOps platforms highly valued.