About the Team The Platform Runtime team builds the low level framework components to power our ML training systems. We work on building robust, scalable, high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware, with the goal of accelerating progress towards AGI. About the Role As a Distributed Systems/Data engineer, you will work to deliver powerful APIs orchestrating thousands of computers moving/persisting vast amounts of data. This requires both providing easy to use, introspectible systems that can promote a fast debugging/development cycle, while also enabling that experience to scale to our newest supercomputers maintaining stability and performance throughout. We’re looking for people who love optimizing an end to end system, understanding high performance I/O to maximize local performance and distributed across our supercomputers. We want someone excited by the rapid pace of responding to the dynamic and evolving needs of our training systems architectures. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will:
You might thrive in this role if you:
Compensation, Benefits and Perks The annual salary range for this role is $245,000 – $385,000. Total compensation also includes generous equity and benefits.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. |
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