Fluidstack is building supercomputers for hyperscalers and frontier labs. We design, construct, and operate gigawatt scale datacenter campuses and then deploy, validate, and operate the GPUs and networking equipment inside.
We're hiring product and engineering across the stack: everything from low level systems programming/firmware on XPUs, automating building controls and datacenter robotics, automating compute and network provisioning and recovery from failures, securing our networks and facilities, and software across dozens of verticals (warehousing, logistics, site selection, commercial operations, talent, legal, etc.)
View hundreds of open roles at fluidstack.io/jobs or send an email to careers at fluidstack dot io
I am an ex-Meta software engineer. I was working on the systems team, and I like to dive deep into problems. I am interested in the role. How can I contact you?
Fluidstack | SWE, SRE, Networking, Infra, TPM, PM, and many more | SFO, SEA, NYC, ATX, LON | Full-Time
Fluidstack is a full stack AI infrastructure company building datacenters, deploying GPUs, and operating hundreds of thousands of accelerators for top tier AI labs. We're also partnering closely with Anthropic (https://www.anthropic.com/news/anthropic-invests-50-billion-...) on deploying GW scale clusters.
Fluidstack | SWE, SRE, Networking, Infra, TPM, PM, and many more | SF, NYC, ATX, LON | Full-Time
Fluidstack is a full stack AI infrastructure company building datacenters, deploying GPUs, and operating hundreds of thousands of accelerators for top tier AI labs. We're also partnering closely with Anthropic (https://www.anthropic.com/news/anthropic-invests-50-billion-...) on deploying GW scale clusters.
Hilariously, the physical cards can only be topped up at add fare machines (cash only) or ATMs (cash only).
If you go down the "add a pasmo/suica on your phone" then you get into licensing issues with the other cabal (credit card issuers): you need to use an Amex to charge it via Apple Pay (IIRC Visa is now supported, but when I tried it last week my card was declined, so... YMMV).
Assuming you’re a tourist, are you sure it’s not your bank flagging the transaction?
When visiting in April I too thought it was an issue with the card when trying to reload on apple wallet, but after two cards declined, found out the transaction was flagged haha
Same experience with reloading on the physical machines. It’s quite amusing
Same card worked via Apple wallet for other transactions, and the Visa thing is a known issue historically (https://discussions.apple.com/thread/255018680?sortBy=rank). A local friend confirmed the fix, but I can't seem to find any info from Apple or Visa about it.
It's working now (https://atadistance.net/2023/12/15/apple-pay-suica-visa-rech...) and has been working since ~2023. The last hurdle many face is that if you disable location services, sometimes the transaction is still blocked as they can now geofence it to just Japan with foreign bank cards.
Fluidstack | Forward Deployed Engineer, SWE, SRE, Infrastructure, Networking, Devrel | London/SF/NYC or remote | fluidstack.io Fluidstack builds and operates GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more.
Engineers at Fluidstack work on a wide variety of activities, including:
- Deploying clusters of 1,000+ GPUs and operating them with and for customers.
- Validating correctness and performance of underlying compute, storage, and networking infrastructure, and working with providers to optimize these subsystems.
- Migrating petabytes of data from public cloud platforms to local storage, as quickly and cost effectively as possible.
- Debugging issues anywhere in the stack, from “this server’s fan is blocked by a plastic bag” to “optimizing S3 dataloaders from buckets in different regions”.
- Building internal tooling to decrease deployment time and increase cluster reliability, including automation where the customer benefits clearly outweigh the implementation overhead.
We don't require prior experience with GPUs or AI/ML; we require a willingness to learn quickly, work hard, and obsess about customer success.
> The sudden shift is fueled by fears of tariffs as Donald Trump threatens a trade war that could disrupt the gold market. Traders, worried that gold imports may soon face tariffs, are rushing to get their bullion into the U.S. before the policy takes effect.
Fluidstack | Forward Deployed Engineer, SWE, SRE, Infrastructure, Networking, Devrel | London/SF/NYC or remote | fluidstack.io
Fluidstack builds and operates GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more.
Engineers at Fluidstack work on a wide variety of activities, including:
- Deploying clusters of 1,000+ GPUs and operating them with and for customers.
- Validating correctness and performance of underlying compute, storage, and networking infrastructure, and working with providers to optimize these subsystems.
- Migrating petabytes of data from public cloud platforms to local storage, as quickly and cost effectively as possible.
- Debugging issues anywhere in the stack, from “this server’s fan is blocked by a plastic bag” to “optimizing S3 dataloaders from buckets in different regions”.
- Building internal tooling to decrease deployment time and increase cluster reliability, including automation where the customer benefits clearly outweigh the implementation overhead.
We don't require prior experience with GPUs or AI/ML; we require a willingness to learn quickly, work hard, and obsess about customer success.
Fluidstack builds and operates GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more.
Engineers at Fluidstack work on a wide variety of activities, including:
- Deploying clusters of 1,000+ GPUs and operating them with and for customers.
- Validating correctness and performance of underlying compute, storage, and networking infrastructure, and working with providers to optimize these subsystems.
- Migrating petabytes of data from public cloud platforms to local storage, as quickly and cost effectively as possible.
- Debugging issues anywhere in the stack, from “this server’s fan is blocked by a plastic bag” to “optimizing S3 dataloaders from buckets in different regions”.
- Building internal tooling to decrease deployment time and increase cluster reliability, including automation where the customer benefits clearly outweigh the implementation overhead.
We don't require prior experience with GPUs or AI/ML; we require a willingness to learn quickly, work hard, and obsess about customer success.
Having recently listened to TSMC as well as Costco, LVMH, and Hermes, there's something available to every member of the HN audience in every episode, no matter how "unrelated" you may think it is.
On the other side of the table, as a former sponsor of a season or two: it was the best marketing we (Crusoe) could have done. We had more high quality inbound from our audience than any other channel, by a long shot. They deeply understand their audience and target appropriately. Strongly recommend to anyone trying to reach a decision making audience (customer and investor).
How did you measure that? Podcast ads seem almost like old school TV in that a lot of listening is offline, with no call to action or method of measurement. Despite racing and resonating deeply with an audience.
1. I believe they require that you have an acquired specific landing page (e.g. crusoe.ai/acquired), which we saw directly as conversions through to our waitlist. The volume was lower than other channels, but the signal was much, much higher.
2. To @scarface_74's comment, "you talk to customer and you can ask them where they heard about you from" is mostly why I made the claim. In particular, when fundraising, basically everyone I talked to said, "I heard about you on Acquired, really interesting business model that I hadn't considered, let's talk more about it."
Sponsorship isn't cheap (I would go so far as to call it expensive), but relative to spending an equivalent amount on search or display ads/billboards on 101/etc., I think it was the right choice at the time.
My only analogy for this is what I call "cruise missile marketing" where you're investing a lot of time/money in building something that is very specifically targeted at high value buyers. It works really well for large, infrequent transactions (raising capital, selling GPU clusters, etc.) and less well for commodity SaaS or B2C products where volume >> everything.
Fluidstack is building supercomputers for hyperscalers and frontier labs. We design, construct, and operate gigawatt scale datacenter campuses and then deploy, validate, and operate the GPUs and networking equipment inside.
We're deploying a GW of compute in 2026 in partnership with Anthropic (https://www.anthropic.com/news/anthropic-invests-50-billion-...), and are continuing to scale out capacity in the US.
We're hiring product and engineering across the stack: everything from low level systems programming/firmware on XPUs, automating building controls and datacenter robotics, automating compute and network provisioning and recovery from failures, securing our networks and facilities, and software across dozens of verticals (warehousing, logistics, site selection, commercial operations, talent, legal, etc.)
View hundreds of open roles at fluidstack.io/jobs or send an email to careers at fluidstack dot io