Join us to build and safely deploy aligned, superhuman AI. We are building an
AI pair programmer that feels like a full colleague inside your computer -
capable, conversational, and reliable across domains.
As a Software Engineer working on our large-scale training and inference
infrastructure, you will architect and build resilient solutions for AI
workloads on large GPU clusters. If you love scaling things, enjoy getting the
most out of compute infra and maximizing reliability, this role is for you.
**Responsibilities**
* Lead and participate in projects to build massive scale (1000's of GPU's), highly available and secure AI training and Inference infrastructure
* Ensure highly available GPU workloads for training and production inference purposes
* Respond to and investigate incidents across security and availability
* Platform Engineering to enable our engineers to be super fast
* Come up with and propose ways of accelerating the team
* Troubleshoot and resolve issues across GPU resources, networking, OS, drivers and cloud environments, automate detection and recovery of such issues
**Requirements**
* Extensive experience with GCP or similar cloud platforms
* Strong Linux knowledge in the k8s, VM and bare metal context, including bash scripting and troubleshooting
* Strong general coding skills
* Strong IaC knowledge with extensive experience in Terraform or Pulumi
* Hardware knowledge around server hardware, networking hardware and GPUs
* Strong knowledge of hardening cloud native and especially k8s workloads
**Magic 's culture**
* **Integrity.** Words and actions should be aligned.
* **Hands-on.** Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
* **Teamwork.** We move as one team, not N individuals.
* **Focus.** Ethically deploy AGI. Everything else is noise.
* **Quality.** We have high standards for ourselves and our products. Magic should feel like magic.
**Benefits and perks**
* Benchmark-based compensation in the 75th or 90th percentile, including base salary, generous equity, and benefits
* 401K with 6% match
* Flexible working hours
* In-person (SF or Vienna) or remote
* A small, fast-paced, highly focused team
_FAQ:_
**What 's your motivation?**
Automation has led humanity from subsistence farming to becoming a globally
connected society. AGI is the ultimate chapter of the story of human tool-
building, presenting the potential to decouple productivity and ingenuity from
human labor. What if the last 50 years of technological progress happened in 2
days? We want to make this a possibility.
**Funding?**
We've recently raised $28M.
**How do we balance deploying the technology today with ambitions for AGI?**
We think deploying AI within the right interfaces is just as important as the
technology itself. Building an AI pair programmer helps us do both at the same
time. We aim to launch gradually improving AI assistants while pursuing work
on what will ultimately become AGI.
**Do you train your own models?**
Yes
**Do you care about the product?**
It's funny that this is a question, but many AI companies neglect UX and focus
only on their model. Yes, we care.
**Can I work from anywhere?**
We welcome applications from anyone around the world. We'll look at visa
requirements case by case.
**I don 't meet all the criteria, should I still apply?**
If you feel you have something to contribute to the mission and you're a high-
energy person, absolutely. We make exceptions for exceptional people. In all
hires, we are looking for either 1) difference makers on world class teams or
2) individuals who would become this very quickly if placed on such a team
tomorrow.
Magic AI focuses on Artificial Intelligence, Developer Tools, and Software
Engineering. Their company has offices in San Francisco and Vienna. They have
a small team that's between 11-50 employees. To date, Magic AI has raised $28M
of funding; their latest round was closed on February 2023.
You can view their website at <https://magic.dev/> or find them on
[Twitter](https://twitter.com/magicailabs) and
[LinkedIn](https://www.linkedin.com/company/magicailabs/).
