Jobs

Atoms is seeking a Staff Machine Learning Infrastructure Engineer to build and scale the large-scale ML training infrastructure for their next-generation autonomous transport models. This foundational role involves designing high-performance training pipelines and validation environments, focusing on distributed GPU workloads and MLOps. The ideal candidate will have 8+ years of software engineering experience, strong backend programming skills, and expertise in Kubernetes and distributed ML compute frameworks. This is an opportunity to make a real-world impact by accelerating innovation in physical AI and robotics.