As a key contributor, you will be responsible for constructing and sustaining the necessary infrastructure to convert physical robot operations into consistent training and evaluation datasets. Your role will encompass overseeing the complete data lifecycle, which includes data ingestion, temporal alignment, ensuring quality control, and managing dataset versions. Applicants should possess a bachelor’s degree in a relevant technical discipline and demonstrate advanced skills in Python, in addition to proficiency in C++, Rust, Java, or Go. A solid background in large-scale data pipelines, multimodal data provenance, and maintaining production system reliability is essential.
GRAM provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
