cpeterson42

Thunder Compute (YC S24) | C++ Systems Engineer | San Francisco (Onsite) | Full-time | Visa sponsorship | https://www.thundercompute.com

We run a GPU cloud on systems software we built from scratch in C++. We're hiring for our systems engineering team; designing the distributed system behind what is essentially a hypervisor for GPUs.

You'd report to Brian, our CTO (ex-Citadel Securities quant dev). Team is from Citadel Securities, Aquatic, Old Mission and AWS. Series A, $17.5M+ from Matrix and YC.

Comp: $250–325K base, 0.1–0.3% equity, highly competitive profit-sharing bonus pool. Currently there are $3.3M in bonuses entering this pool tied to gross-profit milestones.

Apply: https://jobs.ashbyhq.com/thundercompute/2efae53b-817c-43e7-9...

If you're cracked at systems software and want to do something more meaningful than creating liquidity, reach out.

More at https://www.thundercompute.com/careers. Mention HN when you apply.

Thunder Compute (YC S24) | C++ Systems, Infrastructure, BizOps | San Francisco (Onsite) | Full-time | https://www.thundercompute.com

We're building the VMware for GPUs. Most GPUs in the cloud sit idle a lot of the time because they're bolted to one machine over PCIe. We decouple them.

Our virtualization layer is a userspace shim, loaded through LD_PRELOAD, that intercepts CUDA calls and ships them over the network to a host with a physical GPU somewhere else in the data center. Workloads run unchanged. When a process goes idle, the GPU detaches and gets reassigned, and reattaches in tens of milliseconds when it's needed again. Think Ceph for GPUs: the GPU becomes a network resource a cluster-wide scheduler can pool and pack.

The hard part is making that fast. We're within ~10% of native on most AI workloads, and it lets us serve ~1.8x more users on the same fleet. We run it in production as our own GPU cloud and sell it to enterprises with underutilized fleets.

Team is from Citadel Securities, Aquatic, Old Mission, AWS, and Bain. Series A, $17.5M raised from Matrix and Y Combinator.

Open roles:

- Software Engineer, C++ Systems ($215K-$325K + meaningful equity). Low-level, latency-sensitive work on the virtualization layer. Quant dev / HFT background preferred: https://jobs.ashbyhq.com/thundercompute/2efae53b-817c-43e7-9...

- Software Engineer, Infrastructure ($150K-$250K + meaningful equity). Go, Kubernetes, reliable systems at scale: https://jobs.ashbyhq.com/thundercompute/927a922b-c607-4b0e-a...

- Business Operations Lead ($150K-$225K + meaningful equity): https://jobs.ashbyhq.com/thundercompute/4f28e418-b77b-446e-a...

If you're cracked at building systems software and want to do something more meaningful than creating liquidity, reach out.

Email me at [email protected] and mention HN. I read every email.

I've always wondered why a 100ms vs 1s startup time mattered when initialization had several longer steps, this is a much more useful metric

Thunder Compute (YC) | C++ Systems SWE | San Francisco (Onsite) | https://www.thundercompute.com

Thunder Compute is a GPU cloud for developers built on a proprietary software stack of C++ and GoLang. You will solve hard systems problems in production.

Quant dev / HFT SWE experience preferred, team from CitSec, Aquatic, Old Mission, AWS.

Email me: [email protected]

Thunder Compute, YC S24 | https://www.thundercompute.com | In-person in San Francisco

Hiring 4 full-time Software Engineers for low-level C++ systems work (HFT skillset preferred), reporting to the CTO, team from Citadel Securities, Aquatic, Old Mission, Bain

We're a cloud provider using GPU virtualization software to arbitrage GPU prices.

We research technology to use GPUs more efficiently than competitors. Our cloud network attaches GPUs over TCP to eliminate downtime. This lets us buy GPU compute, make it more efficient, and resell it at 60%+ profit margins.

We recently closed ~$4.5M of funding to recruit the world's best low-level talent.

If you're cracked at building C++ systems software and looking to do something more meaningful than creating liquidity in the market, reach out.

To apply: email met at [email protected] and mention HN. I read every email.

Wild world we live in

Thunder Compute, YC S24 | https://www.thundercompute.com | In-person in San Francisco

Hiring 4 full-time Software Engineers for low-level C++ systems work (HFT skillset), reporting to the CTO, team ex-Citadel, ex-Aquatic, ex-Bain

We're a cloud provider using GPU virtualization software to arbitrage GPU prices.

To our customers, we are a direct substitute for Runpod, Lambda, Coreweave, etc. with a simple UX and low prices.

Our advantage is we have spent 3 years bringing research technology to market which lets us use each GPU more efficiently than competitors. We can buy GPU compute, make it more efficient, and resell it at 60%+ profit margins.

We recently closed ~$4.5M of funding to triple our team size with a focus on recruiting the world's best low-level talent.

If you're cracked at building C++ systems software, on noncompete and bored, or looking to do something more meaningful than creating liquidity (you can tell most of our team is from HFT), reach out.

To apply: email met at [email protected] and mention HN. I read every email.

Thunder Compute, YC S24 | https://www.thundercompute.com | In-person in San Francisco

Hiring ~6 full-time Software Engineers across C++ systems and Kubernetes infrastructure

Find JDs here: https://www.ycombinator.com/companies/thunder-compute/jobs

We're a GPU cloud building software to use GPUs more efficiently.

To our customers, we are a direct substitute for Runpod, Lambda, Coreweave, etc. with a simpler UX and lower prices.

Our advantage is software - we have spent 3 years bringing research technology to market which lets us use each GPU more efficiently than competitors. At the same time, our software focus lets us provide a high-quality, industry-leading UX.

In a space where customers shop around and try several providers, having a better product at lower prices has let us quickly expand.

We recently closed ~$4.5M of funding to triple our team size and continue building best-in-class software.

If you're cracked at building C++ systems software (most of our team came from HFT) or kubernetes infrastructure, reach out.

To apply: email met at [email protected] and mention HN to guarantee I see your application.

$4,000/mo to do God's work is more than enough.

Wonder what this means for pricing, given what happened with Auth0

Thunder Compute (S24) | VMWare for GPUs | www.thundercompute.com | 6 days/wk in-person in SF

We are a GPU cloud provider, building proprietary virtualization software to use our GPUs 4x more efficiently than competitors.

In other words, a systems research lab monetized with a cloud offering.

- Rocket ship, revenue growing 100%+ MoM

- 4-person team, expanding to ~8-10 over the next 6 months

- YC S24, just closed $4.5M of seed funding

If you are looking for a post-PMF team with deeply interesting work and a clear path to scale, here's your chance.

Open roles:

- Systems engineers (C++, performance optimization close to the metal)

- Infrastructure engineers (GoLang, K8s, experience building reliable systems at scale)

- Devrel engineers (Full stack, track record of community building)

Apply here --> https://www.ycombinator.com/companies/thunder-compute/jobs

Thunder Compute (YC S24) | Core C++ Systems Developer | SF, NYC, Atlanta | Full-time | https://www.thundercompute.com/

Thunder Compute is a YC-backed seed stage startup building the world's cheapest GPU cloud. We have built a proprietary virtualization stack from scratch that improves GPU utilization by 5x.

We are hiring our fourth team member, a C++ developer with a talent for systems thinking and experience optimizing performance of latency-sensitive production systems. This is a rare opportunity to work on hard, research-esque systems problems in a startup setting. The role:

[1] Founding C++ Systems Developer: https://www.ycombinator.com/companies/thunder-compute/jobs/6...

You can reach me with questions at [email protected], please mention HN in the subject!

For anyone looking to experiment with these models who doesn't have 210GB of VRAM on tap-we're working as quickly as we can to get cheap access to 4x80GB A100 instances running at thundercompute.com (aiming for sub-$5/hr). For quantized versions, we have cheaper 1-2 GPU nodes available today. If you're interested, join our Discord for updates: https://discord.com/invite/nwuETS9jJK

Have tried a ton since Mint sunset, settled on Monarch as the best replacement

We are super early stage and don't have A100s or H100s live yet. Exact pricing TBD but expect it to be low. If you want to use them today, reach out directly and we can set them up :)

This is definitely an interesting thought experiment, however in practice our system is closer to AWS than a botnet, as the GPUs are not distributed. This technology does lend itself to some interesting applications with creating very flexible clusters within data centers that we are exploring.

We don't support self-hosting yet but are considering adding it in the future. We're a small team working as hard as we can :)

Curious where you see this in the CLI, may be an oversight on our part. If you can join the Discord and point us to this bug we would really appreciate it!

We think so too, big things coming :)

Appreciate the praise!

We don't support self hosting yet but the same technology should work well here. Many of the same benefits apply in a self-hosted setting, namely efficient workload scheduling, GPU-sharing, and ease-of-use. Definitely open to this possibility in the future!

In theory yes. In practice, however, latency between the CPU and remote GPU makes this impractical

We created a discord for the latest updates, bug reports, feature suggestions, and memes. We will try to respond to any issues and suggestions as quickly as we can! Feel free to join here: https://discord.gg/nwuETS9jJK

Given the interest here we decided to open up T4 instances for free. Would love for y'all to try it and let us know your thoughts!

Hi Cheptsov, know you mentioned wanting to learn more. We have some demo material that we can share if you're interested. Would love to chat at carl (at) thundercompute (dot) com.