Founding Full Stack Engineer at Thunder Compute (S24)
$120K - $170K  •  0.25% - 1.00%
Launch GPU instances in one click for 80% less
San Francisco, CA, US
Full-time
US citizen/visa only
1+ years
About Thunder Compute

Thunder Compute VMWare for GPUs, monetized with a cloud platform. It's a defensible niche, post-PMF, with revenue growing 100%+ MoM. We have raised $4.5M to assemble a team of the world's top systems researchers and infrastructure engineers.

About the role
Skills: Go, Kubernetes, Linux, Python

Company

Thunder Compute is the lowest cost, easiest GPU cloud for developers. We’re a 4-person, $4.5M raised with 100%+ MoM growth. 6 days per week in-person in SF. Our virtualization stack exposes network-attached GPUs over TCP, letting us oversubscribe hardware and pass savings to users.

Role

Build our cloud infrastructure. You will work on a high-stakes, production system, where stability and maintainability are key. Directly interacting with customers, building new features, and supporting our explosive growth.

Responsibilities

Core technical skills:

  • GoLang, some Python and Next.js
  • Kubernetes (unconventional deployment)
  • Experience owning production systems
  • Ability to quickly solve problems for clients

Must haves:

  • Fast speed to output, with high attention to detail
  • Potential for senior leadership as we scale
  • Strong communication skills
  • Self-driven (you'll own your work from day 1)

Preferred

  • CS degree from top 50 US university, 3.5+ GPA (Bachelor's required)
  • Experience building high-stakes production infrastructure for a trading firm or cloud provider

Compensation

  • Full-time, generous salary + equity.
  • You'll report to Co-founder/CTO Brian (ex-Citadel quant dev).
Technology

Our software network attaches GPUs at the CUDA layer. The core systems work requires deep expertise in systems, low-latency optimization, and C++.

Our infrastructure stack is written in GoLang and uses Kubernetes to manage instances.

This is a rare opportunity to approach deeply challenging technical problems in a high-stakes production environment on an early-stage team.

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