Thunder Compute (YC S24) | C++ Systems, Infrastructure, BizOps | San Francisco (Onsite) | Full-time
Thunder Compute (YC S24) San Francisco (Onsite)
Why this grade
This listing scored 63/100, which is a C. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$130k – $188k
That is the middle half of what comparable roles paid on this board over the last 90 days — 51 listings that did publish a figure, median $161k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
hn-hiring
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-43e7-9da3-72694813f608
- Software Engineer, Infrastructure ($150K-$250K + meaningful equity). Go, Kubernetes, reliable systems at scale: https://jobs.ashbyhq.com/thundercompute/927a922b-c607-4b0e-a6f2-451571a537f4
- Business Operations Lead ($150K-$225K + meaningful equity): https://jobs.ashbyhq.com/thundercompute/4f28e418-b77b-446e-a30e-6b5bed36c093
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.
Apply for this role Opens thundercompute.com — the employer's own page, as linked by the source that listed this role
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Where this listing came from
- 01 Oct 2026 Hacker News first sighting
Seen on 1 board over 2 days.