We are looking for people with strong Backend Data Engineering capabilities to build highly efficient, resilient systems & pipelines for large-scale data processing. You’ll be part of Luma’s applied research team and work directly on mission critical work-streams utilizing thousands of GPUs.
Responsibilities
Design, build and automate infrastructure for processing data across multiple clusters of thousands of GPUs.
Work with researchers to identify and implement technical data requirements, and optimize distributed loading for model training.
Work cross-functionally for diverse backend engineering needs.
Design & build performant infrastructure to manage and leverage large-scale datasets for our model training.
Experience
Requirement of 10+ years of engineering, including 2+ years of work experience in petabyte-level data processing.
Very strong generalist python coding.
Experience engineering large-scale systems that process and serve petabytes of data.
Deep understanding of Kubernetes, SLURM, Ray and other cluster orchestration systems.
Experience working with visual data.
Experience working closely with ML is a strong plus .
Please note this role is not meant for recent grads.
All your applications are reviewed by real people.
