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 .
Compensation Range: $150K - $300K
