Luma

Staff Software Engineer - Data infrastructure

Reposted 20 Days Ago

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Palo Alto, CA

In-Office

250K-300K Annually

Expert/Leader

Digital Media

The Role

Build and automate infrastructure for large-scale data processing, optimize distributed loading for model training, and manage datasets for model training.

Summary Generated by Built In

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 .

Compensation

The pay range for this position in California is $200,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

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