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Aranya

Turns bare metal into production-ready GPU clusters in under 48 hours

4 open rolesSeed · $11M50+ peopleSan Francisco, USA

Last verified September 2, 2026 · Updated daily

What Aranya is building

Aranya builds clusterdOS, an open-source distributed OS engine that sits on top of Kubernetes and turns an arbitrary pile of bare metal into a coherent, self-healing, enterprise-grade GPU cluster. Their headline is the whole pitch: "Bare metal to custom production clusters in 48h." The comparison point is six weeks, which is roughly what standing up a production inference cluster takes by hand. The engine automates the layers that normally each need a specialist: containerised workload deployment, networking, and distributed storage. On top of that it does the operational work that usually consumes an SRE team — diagnosing GPU thermal events, ECC memory errors and networking faults, and resolving them autonomously. Federated multi-cluster control sits above that, along with a natural-language interface for infrastructure management and strict multitenancy with role-based access controls. The company reports a 90% reduction in outages in customer deployments. The strategic position is a two-sided one. On one side, AI companies need clusters immediately and cannot wait six weeks. On the other, datacentres and neoclouds are sitting on underutilised hardware they cannot turn into a sellable product fast enough. Aranya describes itself as "liberating compute for the future of intelligence," and clusterdOS being open source under GPLv3-or-later is the mechanism: the neocloud adopts the engine, Aranya operates the fleet. Traction is unusually concrete for a company this size. Over $500M in GPU hardware under management, 1,700+ GPUs deployed with partners, a partnership with Hydra Host, and a public testimonial from Baseten's Head of Global Capacity.

Why this matters

The GPU shortage has quietly changed shape. There is a great deal of hardware racked in datacentres and neoclouds; what is scarce is the operational competence to turn raw metal into something an inference customer will actually pay for, and the people who can do that are a small and expensive population. Every week a rack sits unconfigured is depreciation on hardware with a brutal amortisation curve. Compressing six weeks to 48 hours is not a convenience feature at that cost of capital, it is the difference between a viable neocloud and a stranded asset. First Round's Todd Jackson makes the case for the team rather than the market: "In less than a year, Aranya is already managing hundreds of millions of dollars in GPUs for some of the most demanding inference workloads in AI... The team built exactly what the infrastructure layer needs: something that makes the complexity disappear." The $500M under management before the first anniversary is the number that makes this real. Christian has also failed at versions of this before — three GPU-centric ventures of his own and founding-engineer roles at two more neoclouds — which is precisely why the fourth attempt has traction.

Investors: First Round Capital (Todd Jackson) — led the $9M seed, Asylum Ventures — led the $2M pre-seed, Box Group, Vermilion Cliffs, Founder Collective, Parable VC, Uncommon Ventures

Open roles at Aranya

4 positions we're tracking. Roles are re-checked daily and removed when filled.

Platform Engineer (Go, custom Kubernetes operators, ArgoCD, GitOps) — San Francisco, in-person

San Francisco, USA·Mid-level

First seen today

Apply →

Senior Infrastructure / Site Reliability Engineer, On-Call (Kubernetes, Ceph, bare metal) — San Francisco, in-person

San Francisco, USA·Senior

First seen today

Apply →

Full-stack Engineer (multicluster interface)

San Francisco, USA·Mid-level

First seen today

Apply →

DevRel / Go-to-Market (open-source community around clusterdOS)

San Francisco, USA·Mid-level

First seen today

Apply →
Live · tracking AranyaLast checked September 2, 2026

Know when Aranya is hiring before anyone else

A role stays uncontested for about four days. Here's the window — and where we put you in it.

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Watching Aranya

0 applicants

Role spotted & verified

1

You get the alert

1

You've applied

~8

Hits the job boards

250+

Hiring outlook

Two live roles posted on the careers page right now, both San Francisco and both explicitly in-person, and the funding release names the exact expansion areas: platform engineering with ArgoCD, Go and Kubernetes, plus full-stack, DevOps, SRE and go-to-market focused on cultivating the open-source community. Explicit stated hiring against a fresh raise, with named requirements.

Hiring intensity: 8/8

Working at Aranya

Founded in 2023, Aranya is Turns bare metal into production-ready GPU clusters in under 48 hours. They're now people. For a Tech company this size, the reality is opportunity to shape your role based on the company stage.

The majority of roles are in San Francisco, USA.

How to actually get hired at Aranya

Why applying the normal way doesn't work

Aranya runs an applicant tracking system, but hiring managers still work referrals first. A cold application to Aranya isn't dead, it's just fourth in line behind internal referrals, sourced candidates and recruiter pipelines.

Who to contact at Aranya

Who decides:the hiring manager
Best channel:LinkedIn or direct email

What to show them

Write a custom Kubernetes operator in Go that manages something genuinely stateful and physical — node lifecycle with hardware health as an input, say — and drive it through ArgoCD with a real GitOps flow. Then demonstrate it recovering from a failure you injected, not a clean deploy. clusterdOS is open source under GPLv3, so read it first and reference something specific in it. A pull request beats a portfolio.

A cold email that works at Aranya

Subject: Platform Engineer (Go, custom Kubernetes operators, ArgoCD, GitOps) — San Francisco, in-person, [your one-line proof]
Hi Christian, I read through clusterdOS and wrote <the specific operator / PR / extension>, which handles <the specific node lifecycle or failure case>. The part I'd push back on is <a specific, informed observation about the codebase>. I've run Go operators and ArgoCD against bare metal, not just cloud VMs, and I saw the Platform Engineer role is in-person in SF — I'm in SF.

What Aranya screens for

First Round leading a $9M seed after Asylum's $2M pre-seed, with Todd Jackson writing the pitch himself, is a firm backing operational proof rather than a deck. The team credential that matters is that Aranya was already managing $500M in GPUs and running 1,700+ GPUs with partners like Hydra Host before it raised the seed at all, so the money is being spent to keep up with demand that already exists. That is the best possible hiring window: the load is real, the team is small, and both open roles are on-call, in-person and unglamorous in a way that filters out everyone who wants the AI job without the infrastructure job. clusterdOS being GPLv3 open source means your work is publicly attributable from day one, which is rare in this layer. The candidate edge is simple — if you have actually debugged Ceph in production and diagnosed an ECC error on a GPU node at 3am, you are in a population of a few thousand people and Aranya knows exactly what that is worth right now.

Customize your CV for the Aranya role. Matching the job description language helps clear ATS filters.

Don't make these mistakes

Do not send Christian a pitch about the AI infrastructure opportunity. This is his fourth attempt at compute — Wolfepack, Squire, Atoka before this, plus third engineer at Crusoe and founding platform engineer at Hyperbolic — so he has held the thesis longer than most people have been aware of it, and market-sizing enthusiasm reads as someone who has never racked a server. Do not send a distributed-systems résumé with no bare-metal in it either; the job posting asks for Ceph and bare metal specifically because the failure modes are physical. Avoid framing clusterdOS as a Kubernetes wrapper. And do not ask about remote: both open roles say in-person San Francisco, so raising it first signals you skimmed.

Mistakes that kill Aranya applications

Generic CVs stand out at a -person company — and not in a good way. Fastest path to rejection.

Skip 'I'm looking for...' — start with The GPU shortage has quietly changed shape and your specific angle on solving it.

Applying and waiting = silence. Follow up at day five — it roughly doubles your odds of a reply.

Live · tracking Aranya

Applying to Aranya? Get the contact, not the form.

The Aranya interview process

4 stages · 14 days typical · take-home: no · modelled from similar companies

We don't yet have verified candidate reports for Aranya. What follows is the typical process for a -person Tech company — treat it as a model, not confirmed detail.

Interview stages

1

Recruiter Screen

Phone or video · 30 min

What it tests:

Basic qualification and logistics

Usually run by:

Recruiter or HR

2

Hiring Manager Interview

Video call · 45 min

What it tests:

Role fit and experience deep-dive

Usually run by:

Hiring manager

3

Technical/Functional Round

Video call · 60 min

What it tests:

Skills assessment and problem-solving

Usually run by:

Team members

4

Final Round

In-person or video · 60 min

What it tests:

Culture fit and cross-functional alignment

Usually run by:

Senior leadership

Aranya interview timeline

Expect days total. Compared to similar Tech companies (14 days median), Aranya is about average.

Interviewed at Aranya?

Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.

Submit your Aranya interview experience →

Aranya jobs, frequently asked questions

How many jobs does Aranya have open?

4 open roles at Aranya, last checked September 2026.

Does Aranya hire remotely?

Aranya doesn't have remote openings at the moment. All roles are in San Francisco, USA.

What roles is Aranya hiring for?

Aranya is hiring across Engineering, Marketing. The most recent opening is Platform Engineer (Go, custom Kubernetes operators, ArgoCD, GitOps) — San Francisco, in-person.

How do I apply for a job at Aranya?

Use the apply links above, or check our guide to getting hired at Aranya.

Does Aranya respond to cold emails?

Response rate data for Aranya not yet confirmed.

Who is the hiring manager at Aranya?

At this size, hiring is usually run by the hiring manager.

How competitive is it to get hired at Aranya?

Typical applicant count for Tech roles ( people): 100-250 in two weeks. Apply fast.

How many rounds is the Aranya interview?

4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.

Is the Aranya interview hard?

Focus on relevant experience and culture fit, not puzzles. Final Round is reportedly the most challenging round.

Does Aranya give a take-home task?

No, Aranya does not include a take-home stage.

How long does Aranya take to get back to you?

Around 14 days across the full process.

What should I prepare for the Aranya interview?

relevant experience and culture fit is the priority. Show you can work autonomously — that matters more than algorithms at people.

Where is Aranya based?

Aranya is headquartered in San Francisco, USA.

Live · tracking AranyaLast checked September 2, 2026

Get Aranya roles before they're posted

A role stays uncontested for about four days. Here's the window — and where we put you in it.

Notify me when Aranya hires

From $9/month, cancel any time.

live+2h+4hday 3day 7+

Watching Aranya

0 applicants

Role spotted & verified

1

You get the alert

1

You've applied

~8

Hits the job boards

250+

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