About the Company

Thunder Compute is the lowest cost, easiest GPU cloud for developers. There are two parts to our company:

We run a cloud platform where developers rent GPUs, just like Coreweave, Lambda, or AWS.
We build virtualization software that uses GPUs 3x more efficiently than these competitors.

About the Role

As a cloud infrastructure engineer, you will build the infrastructure backbone for our cloud platform. Your days will be a mix of working to solve problems for customers and building resilient, stable production infrastructure. This is a fast-paced role where you are expected to learn quickly; we will have you jump in from day one.

If you worked at a large company and felt restricted working on a single piece of a huge machine, look no further. At Thunder Compute you will work on complicated production infrastructure, learning quickly while interfacing with customers and owning broad scope across the platform.

Responsibilities

Build and manage the Kubernetes backbone for our cloud infrastructure
Write cloud management scripts in GoLang
Quickly solve production issues for customers
Attention to detail is critical - your code must be reliable and maintainable.
Clear path to senior leadership as we scale

Qualifications

Self-driven with high level of ownership; you will own your work from day 1
Bachelor's degree in Computer Science from a leading university

Required Skills

Linux, Git, Bash
Production experience in GoLang and/or C++
Distributed systems understanding

Preferred Skills

Experience at a trading firm or a similar high-stakes production environment
Some familiarity with Kubernetes

Pay range and compensation package

Full-time, in-person in San Francisco.
Pay is highly competitive with significant equity. Thunder Compute is profitable on variable costs and on track for $100M+ series A valuation.

How our virtualization works

Our core advantage versus other clouds is our proprietary virtualization software.

To understand how this virtualization works, think of GPUs like cars. Today, GPU clouds are like car rental agencies; you rent a car for a few days when you need it, but the car sits parked for much of your vacation while you sleep, go to the beach, etc.

Thunder Compute allocates GPUs more like Uber; each server has access to a GPU when it is needed, and that GPU serves someone else when it isn't.

The end user never has to think about this; they always have a GPU, so from their perspective our servers are identical to other clouds.

What's remarkable is that we can pull this off without actually owning any hardware. To extend this analogy, our cloud offering is an arbitrage where we rent "cars" from rental agencies (other clouds) and use them as Ubers. The efficiency gain from our software is so large that we have higher margins than the clouds we build on, without the CapEx of building data centers.

Equal Opportunity Statement

We are committed to diversity and inclusivity.

Thunder Compute

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