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.

Company

Thunder Compute is GPU cloud platform built on custom virtualization that delivers 5x better margins than competitors. Think of us like VMWare for GPUs, monetized with a cloud platform.

4-person team, $4.5M raised, 100%+ MoM revenue growth. 6 days per week in-person in SF.

We are building a cloud platform backed by our virtualization stack, where we network-attach GPUs over TCP through API remoting. This lets us oversubscribe hardware aggressively; we have a pool of GPUs used by 3-4 times more servers than other platforms.

If building a ChatGPT wrapper or selling out to a hedge fund makes you shudder, there’s a third option.

Role

You'll work on the C++ core of our cloud platform: performance optimization, systems debugging, and research into oversubscription, checkpointing, and related problems.

You will spend your days in the weeds of complex, performance-critical systems in production.

Core technical skills:

• Top 0.1% C++ ability
• Experience optimizing NIC/GPU performance
• Deep understanding of low-level networking, compilers, or similar systems
• Experience in latency-sensitive environments

Must haves:

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

Preferred

• CS PhD/Masters from top 50 US university, 3.5+ GPA (Bachelor's required)
• 3+ years at trading firm, hardware company (NVIDIA, SambaNova), systems research or similar

Compensation

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

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.