Efficiently develop, train, and deploy AI models in any cloud environment. Access on-demand GPUs across multiple GPU clouds and seamlessly scale ML inference for optimal performance. Backed by Y Combinator.
About the role
As a member of the Shadeform engineering team, your core responsibilities will be building and maintaining the Shadeform GPU platform and building out automated AI infrastructure services. Because of Shadeform’s unique position in the market, you will work on novel solutions to some of the biggest challenges in the GPU market. This role includes GPU provisioning, orchestration, virtualization, managing customer-facing infrastructure services, and building in multi cloud environments.
What they're looking for
- Operating and debugging with Kubernetes
- Building and maintaining public facing cloud platforms and managing instance lifecycle
- Building managed services and public APIs utilized by technical customers
- General backend and infrastructure development
More about this role
Shadeform provides a unified platform for deploying and managing GPU infrastructure across cloud providers, neoclouds, and data centers. Our platform gives startups, inference providers, and enterprises a consistent way to access and operate GPU capacity through a single API and service layer.
As a member of the Shadeform engineering team, your core responsibilities will be building and maintaining the Shadeform GPU platform and building out automated AI infrastructure services. Because of Shadeform’s unique position in the market, you will work on novel solutions to some of the biggest challenges in the GPU market. This role includes GPU provisioning, orchestration, virtualization, managing customer-facing infrastructure services, and building in multi cloud environments. You will own the systems that turn fragmented GPU capacity into a reliable, production-ready platform. You will have opportunities to test out bleeding edge GPU infrastructure and utilize the latest AI dev tools.
Operating and debugging with Kubernetes
Building and maintaining public facing cloud platforms and managing instance lifecycle
Building managed services and public APIs utilized by technical...
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