Magic AI
Senior Software Engineer - Compute Infrastructure
Magic AI, San Francisco, California, United States, 94199
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 infrastructureEnsure highly available GPU workloads for training and production inference purposesRespond to and investigate incidents across security and availabilityPlatform Engineering to enable our engineers to be super fastCome up with and propose ways of accelerating the teamTroubleshoot and resolve issues across GPU resources, networking, OS, drivers and cloud environments, automate detection and recovery of such issuesRequirements
Extensive experience with GCP or similar cloud platformsStrong Linux knowledge in the k8s, VM and bare metal context, including bash scripting and troubleshootingStrong general coding skillsStrong IaC knowledge with extensive experience in Terraform or PulumiHardware knowledge around server hardware, networking hardware and GPUsStrong knowledge of hardening cloud native and especially k8s workloadsMagic'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 benefits401K with 6% matchFlexible working hoursIn-person (SF or Vienna) or remoteA small, fast-paced, highly focused teamFAQ: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.
#J-18808-Ljbffr
Lead and participate in projects to build massive scale (1000's of GPU's), highly available and secure AI training and Inference infrastructureEnsure highly available GPU workloads for training and production inference purposesRespond to and investigate incidents across security and availabilityPlatform Engineering to enable our engineers to be super fastCome up with and propose ways of accelerating the teamTroubleshoot and resolve issues across GPU resources, networking, OS, drivers and cloud environments, automate detection and recovery of such issuesRequirements
Extensive experience with GCP or similar cloud platformsStrong Linux knowledge in the k8s, VM and bare metal context, including bash scripting and troubleshootingStrong general coding skillsStrong IaC knowledge with extensive experience in Terraform or PulumiHardware knowledge around server hardware, networking hardware and GPUsStrong knowledge of hardening cloud native and especially k8s workloadsMagic'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 benefits401K with 6% matchFlexible working hoursIn-person (SF or Vienna) or remoteA small, fast-paced, highly focused teamFAQ: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.
#J-18808-Ljbffr