Job stories

I’m Hunter, the founder of Archil (recently rebranded from Regatta Storage). We’re building the new, active data layer for the cloud, and we’re starting by transforming S3 (or compatible!) buckets into infinite, high-speed, local[1] file systems. Our early customers are using Archil’s performance to power CI/CD pipelines, build stateless Jupyter notebooks for AI researchers, run training jobs, and build out storage defaults for the new set of AI clouds. You may know us from our Hacker News launch last Fall (https://news.ycombinator.com/item?id=42174204), and you can see a demo of our product here (https://archil.com/).

Now, we’re looking to grow the team to keep up with customer demand! We’re looking for a Distributed Systems Engineer, who will be focused on helping us build scalable, distributed systems in the cloud. Notably, you don’t need prior experience in the storage space, just experience (~2-5 years) building, scaling, and operating backend software. Ideally, you’ve worked at a high-growth startup in the past. Most importantly, you’re someone who understands how computers work from the ground up (from CPUs, to the Linux kernel, to the TCP stack, to distributed consensus). Our stack is primarily written in Rust (for the stuff that’s important), Go (for the stuff that needs to be written fast), and React/Next.js (for the small number of things that people look at).

We raised a successful round after YC, we’re here to stay, and we think that there’s immense opportunity in this space (that’s only growing with large AI models, data sets, and agents taking over). We’re a team of 4 today, with backgrounds in storage infra (at AWS) and AI. If you’re a builder who’s looking to build the next foundation of cloud computing, we’d love to have you join us. Send us a note if you’re interested here: https://www.ycombinator.com/companies/archil/jobs/svfkDVv-fo...

[1] Local to your cloud instances, that is, not your laptop.

### Stop building GPT wrappers. Build a world model instead.

---

*Why Foundry exists:*

Every SaaS app, enterprise tool, and internal workflow without an API will soon be automated by browser agents—not traditional API integrations. Tens of trillions of dollars in global labor depend on browser-based workflows that no AI system can reliably automate today.

But browser agents right now are like GPT-1: impressive demos, but brittle and broken in practice. To scale browser agents from GPT-1 demos to GPT-4 reliability—and unlock this enormous economic leap—they need purpose-built infrastructure:

- *Realistic web simulation*: capable of modeling complex tasks, ambiguous UIs, and non-deterministic interactions. - *Robust RL training loops*: that learn effectively from sparse rewards and authentic user behavior. - *Rigorous evaluation benchmarks*: tied to real-world outcomes and genuine business impact.

No one's built it yet. We're going first.

We’re building exactly this—core infrastructure designed from first principles, specifically for browser agents. No incremental tools, no wrappers around GPT—just the foundational AI stack everyone else will depend on later.

Our founding team is ex-Scale AI & Meta

Seed-funded, SF-based (fully in-person)

---

*What we’re looking for:*

A founding engineer who’s cracked at software engineering—but who now wants to ship core ML systems and RL infrastructure from scratch.

This is not another prompt-engineering job.

*You’ll:*

- Build a browser agent gym—sparse rewards, non-determinism, messy DOM trees. - Solve hard ML problems at the edge of production—every single day.

---

*You probably:*

- Are a killer engineer (Python, TypeScript) early in your career (0–2 YOE). - Ship insanely fast—internships, side projects, OSS, real research—things you’ve built yourself. - Have real ML exposure: trained models, built infra, ran experiments. - Have strong OSS contributions, publications we’d recognize, or both. - Want a grind. Want to get better. Want to build something genuinely novel.

---

*Bonus points:*

- You’ve built RL agents, browser automation (Puppeteer, Playwright), or eval tooling. - You’re tired of wrapping APIs and fine-tuning HuggingFace models—ready to do something deeper.

---

*Why join:*

- Real-world ML infrastructure, real users, real technical complexity. - Early equity, competitive pay, and massive growth trajectory. - SF-based, 5 days/week, fully in-person.

We're building core infra. The ML stack everyone else will use later—that’s what we’re shipping today.

---

If you’ve read this far, you probably get it.

Reach out directly—let’s build.

https://www.ycombinator.com/companies/foundry/jobs/uwi8b6I-f...

Email at manil @ foundryrl dot com