Description
Humble Robotics is hiring an ML infrastructure engineer to design, build, and scale foundational systems supporting autonomous-vehicle machine learning. The role covers vehicle sensor-data collection, batch compute pipelines, dataset curation, distributed GPU training, and observability, performance, security, and deployment across the ML training flywheel. Candidates should have cloud web-service experience, infrastructure-as-code and configuration-management experience, CI/CD and deployment experience, security fundamentals, and cluster-scheduling experience; the role requires eligibility to work in the United States and offers base salary, benefits, and equity.
