Presentation
Senior Software Engineer - Data Infrastructure
SessionJob Postings
DescriptionDescription
Startup mindset
Value velocity and execution.
Communicate clearly.
Focus on building what will matter to users and the product.
Be resourceful at finding creative ways to overcome challenges.
Roles and 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.
Requirements
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.
Please note this role is not meant for recent grads.
Benefits
Equity grant to reflect the incredible value you will bring to Luma, with annual refreshes.
Excellent salary and benefits.
Full health, dental, and vision coverage.
Latest and greatest gear.
Stipends towards wellness, house cleaner, and phone/internet.
Unlimited paid time off with 12 days minimum.
Unlimited sick days.
Why Join Luma AI?
You will get to work with the world's best AI researchers, shipping their research to millions of users around the world
You will be equipped with all the tools, technologies, resources, and AI tools you need to get the job done
We build. We ship. Your work will matter to people.
We are building a very widely usable product, and you’ll get to work on an equally wide variety of challenging problems.
We have fantastic traction from early customers, whom you’ll get to work directly with.
We have the backing of some of the best VCs in Silicon Valley, and Angels from across the industry.
Startup mindset
Value velocity and execution.
Communicate clearly.
Focus on building what will matter to users and the product.
Be resourceful at finding creative ways to overcome challenges.
Roles and 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.
Requirements
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.
Please note this role is not meant for recent grads.
Benefits
Equity grant to reflect the incredible value you will bring to Luma, with annual refreshes.
Excellent salary and benefits.
Full health, dental, and vision coverage.
Latest and greatest gear.
Stipends towards wellness, house cleaner, and phone/internet.
Unlimited paid time off with 12 days minimum.
Unlimited sick days.
Why Join Luma AI?
You will get to work with the world's best AI researchers, shipping their research to millions of users around the world
You will be equipped with all the tools, technologies, resources, and AI tools you need to get the job done
We build. We ship. Your work will matter to people.
We are building a very widely usable product, and you’ll get to work on an equally wide variety of challenging problems.
We have fantastic traction from early customers, whom you’ll get to work directly with.
We have the backing of some of the best VCs in Silicon Valley, and Angels from across the industry.
Event Type
Job Posting
TimeSaturday, 27 July 20248:52am - 8:54am MDT
Location
Session TimeSaturday, 27 July 20248:00am - 9:00am MDT
Location
