Software Engineer - Data Infrastructure

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

• Very strong generalist python coding.

• Requirement of 5+ years of engineering, including 2+ years of work experience in petabyte-level data processing.

• 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 .