At Tensorfuse (YC W24), we are building a cutting-edge serverless GPU runtime that operates on private clouds, and we need innovative minds like yours to make it happen. We are backed by Y Combinator and led by industry experts from Adobe Research and Qualcomm.

The Challenge

We are not just using existing tools but rebuilding infrastructure technology from the ground up. This includes developing our Docker alternative and creating a custom filesystem to accelerate container runtimes. Our tech integrates deeply with hardware and GPU libraries to optimize performance and efficiency.

Why you should join us?

Innovate at the Core: Redefine the cloud technology that is due for an update. We are rewriting Docker and Kubernetes from the ground up for the AI era.

Tinker with Hardware: Get hands-on experience with hardware and GPU libraries, pushing the limits of what's possible in AI deployment.

Shape the Future: Be part of a team that's redefining cloud infrastructure and making serverless GPUs a reality for private clouds.

Required Qualifications

• Programming Expertise: Strong proficiency in Rust or Go with a solid understanding of low-level systems programming concepts.
• Kubernetes Experience: Hands-on experience with Kubernetes (K8s) and container orchestration.
• Cloud Savvy: Familiarity with cloud platforms (AWS, GCP, Azure) and their respective services.
• Previous Startup Experience: Prior experience in a startup environment or with Y Combinator-backed companies will be a huge plus.