3 supercomputing software engineer jobs found in San Francisco, CA

About the Team The Supercomputing Scheduling Pillar at OpenAI is dedicated to ensuring the reliability, scalability, and user-friendliness of job lifecycle management, with an emphasis on efficient and flexible job scheduling, quota management, and job execution workflows. We maximize researcher productivity by ensuring high goodput, efficient packing, and a consistent, ergonomic training workflow, while scaling to ever larger supercomputers while reducing operational burden to the team.   About the Role As an engineer in the Scheduling Pillar, you will design, write, deploy, and operate job lifecycle management systems for model training on some of the largest supercomputers in the world. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission. 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...

About the Team The Supercomputing Scheduling Pillar at OpenAI is dedicated to ensuring the reliability, scalability, and user-friendliness of job lifecycle management, with an emphasis on efficient and flexible job scheduling, quota management, and job execution workflows. We maximize researcher productivity by ensuring high goodput, efficient packing, and a consistent, ergonomic training workflow, while scaling to ever larger supercomputers while reducing operational burden to the team. About the Role As an engineer in the Scheduling Pillar, you will design, write, deploy, and operate job lifecycle management systems for model training on some of the largest supercomputers in the world. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission. 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...

About the Team The Compute team works on the design of our AI supercomputers, doing everything from workload modeling to accelerator co-design. We're leaning into our partnerships to make data center co-design an integral part of this process, and are looking for engineers to design AI supercomputers solutions for data center applications This team will be responsible for working with partners to optimize their hardware for our workloads, identifying promising new deep learning accelerators, and bringing those hardware platforms to production. If you're excited to work at the intersection of cutting edge deep learning and data center design this role is for you! About the Role We are seeking a highly skilled and motivated Firmware Engineer to join our cutting-edge supercomputer hardware systems development team. In this role, you will be responsible for the design, development, and implementation of low-level firmware and software components, including BIOS, OpenBMC, and...