Senior Infrastructure Engineer, GPU Platform
1 day ago
The Applied Engineering team at OpenAI is a collaborative group that works across research, engineering, product, and design to bring cutting-edge AI technology to consumers and businesses. Our team is responsible for running the infrastructure that supports the models backing ChatGPT and the API, including inference kubernetes clusters, GPU health, Infiniband performance, node lifecycle, and more.
About the RoleThe inference compute team at OpenAI builds and maintains infrastructure abstractions that enable the company to run models at scale. As a key member of this team, you will design and build the inference infrastructure that powers our products, ensuring reliability and performance. You will also be responsible for ensuring our infrastructure can scale to the next order of magnitude, helping create a diverse, equitable, and inclusive culture, and participating in an on-call rotation to respond to critical incidents as needed.
Responsibilities- Design and build scalable, reliable, and secure infrastructure abstractions that enable the company to run models at scale.
- Ensure our infrastructure can scale to the next order of magnitude, meeting the demands of a rapidly growing business.
- Collaborate with cross-functional teams to create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think.
- Participate in an on-call rotation to respond to critical incidents as needed, ensuring the reliability of the systems we build.
- 10+ years of experience building core infrastructure.
- Experience running GPU clusters at scale.
- Experience operating orchestration systems such as Kubernetes at scale.
- Take pride in building and operating scalable, reliable, secure systems.
- Are comfortable with ambiguity and rapid change.
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Senior Infrastructure Engineer, GPU Platform
2 weeks ago
San Francisco, California, United States OpenAI Full timeAbout the TeamThe Applied Engineering team at OpenAI is a collaborative group that works across research, engineering, product, and design to bring the company's technology to consumers and businesses. This team is responsible for running the infrastructure that supports the models backing ChatGPT and the API, including inference kubernetes clusters, GPU...
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Senior Infrastructure Engineer, GPU Platform
2 weeks ago
San Francisco, California, United States OpenAI Full timeAbout the TeamThe Applied Engineering team at OpenAI is a collaborative group that works across research, engineering, product, and design to bring the company's technology to consumers and businesses.You'll be part of the team responsible for running the infrastructure that supports the models backing ChatGPT and the API. Our systems include inference...
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Senior Infrastructure Engineer, GPU Platform
1 week ago
San Francisco, California, United States OpenAI Full timeAbout the TeamThe Applied Engineering team is a dynamic group that works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses.You'll join the team responsible for running the infrastructure that supports the models backing ChatGPT and the API. The systems we support include inference kubernetes clusters,...
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San Francisco, California, United States Apple Full timeAbout the RoleWe are seeking a highly skilled Senior Engineering Program Manager to join our Machine Learning Platform & Technology (MLPT) team at Apple. As a key member of our team, you will be responsible for establishing cross-functional partnerships with all of Apple's ML partners, understanding their use cases, and improving the ease of use of our...
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San Francisco, California, United States Apple Full timeAbout the RoleWe are seeking a highly skilled Senior Engineering Program Manager to join our Machine Learning Platform and Technology (MLPT) team at Apple. As a key member of our team, you will be responsible for driving the development and implementation of our Machine Learning Compute Platform, which provides services to all internal Apple developers...
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