<div>At Magic, we are a vertically integrated AI company. We do research, train foundation models, build products, and talk to users. Owning the front-end gives us direct product feedback; training our own foundation models allows us to incorporate it.</div><div><br></div><div>As our Business Operations Lead, you will contribute to all parts of company building, including Go-To-Market, strategy and finance, and scaling our team.</div><div><br></div><div>Ideally, you have 1-2 years of experience working at a startup in a similar role, an interest in AI and Machine Learning, and optionally a background in Computer Science.</div>

At Magic, we are a vertically integrated AI company. We do research, train foundation models, build products, and talk to users. Owning the front-end gives us direct product feedback; training our own foundation models allows us to incorporate it.

As our Business Operations Lead, you will contribute to all parts of company building, including Go-To-Market, strategy and finance, and scaling our team.

Ideally, you have 1-2 years of experience working at a startup in a similar role, an interest in AI and Machine Learning, and optionally a background in Computer Science.


<li>Build systems and processes around key business needs like hiring plans, R&amp;D investment budgets, product telemetry, conducting market research, and more</li><li>Create, own and manage execution plans across a few strategic initiatives like monetization, external partnerships, product launches, and more</li><li>Bootstrap a developer community around the product including a system around content for developers like blog posts, talks, or demos</li><li>Manage external stakeholders such as partners, consultants, and the press</li><li>Continually seek out key functional or process gaps and build systems to fill them</li>

<li><b>Hands-on execution</b>. You do not hesitate to roll your sleeves up and tackle something directly. You are persistent and persevere.</li><li><b>Entrepreneurial. </b>You are scrappy and self-motivated. You are resourceful and forge a path to solve problems.</li><li><b>Self-starter.</b> You demonstrate a clear and consistent drive to get things done and you initiate them on your own.</li><li><b>Strategic thinker. </b>You can create a coherent strategy from a blank sheet of paper.</li><li><b>Great communicator.</b> You are able to communicate complex ideas in simple and powerful language both verbally and in writing.</li><li><b>Strong analytical skills. </b>You can work effectively to solve complex problems and back up your thinking with concrete analysis. You are a data driven thinker.</li><li><b>Team first.</b> You are collaborative in mind-set and put the team first as your priority.</li><li><b>Technical understanding and appetite to learn.</b> You are able, and excited, to quickly get up to speed on the latest technologies in AI.</li>

<li><b>Integrity. </b>Words and actions should be aligned.</li><li><b>Hands-on.</b> Many of us have previously led teams. At Magic, there are no managers. We all spend the vast majority of our time building and doing. If you want to solve hard problems, Magic is the right place for you.</li><li><b>Teamwork.</b> We move as one team, not N individuals.</li><li><b>Focus.</b> Ethically deploy AGI. Everything else is noise.</li><li><b>Quality.</b> We have high standards for ourselves and our products. Magic should feel like magic.</li>

<li>Benchmark-based compensation in the 75th or 90th percentile, including base salary, generous equity, and benefits</li><li>401K with 6% match</li><li>Flexible working hours</li><li>A small, fast-paced, highly focused team</li>

<div>At Magic, we are a vertically integrated AI company. We do research, train foundation models, build products, and talk to users. Owning the front-end gives us direct product feedback; training our own foundation models allows us to incorporate it.</div><div><br></div><div>As Chief of Staff to our CEO, you will contribute to all parts of company building at this stage including things like launching our first product and scaling our team. Ideally, you have at least 1-2 years of experience working at a VC fund, worked in Ops, Recruiting or Finance at a startup, and have a background in Computer Science.</div>

At Magic, we are a vertically integrated AI company. We do research, train foundation models, build products, and talk to users. Owning the front-end gives us direct product feedback; training our own foundation models allows us to incorporate it.

As Chief of Staff to our CEO, you will contribute to all parts of company building at this stage including things like launching our first product and scaling our team. Ideally, you have at least 1-2 years of experience working at a VC fund, worked in Ops, Recruiting or Finance at a startup, and have a background in Computer Science.


<div>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.</div><div><br></div><div>As a GPU Kernel Engineer, you will design efficient implementations of novel model architectures and optimize kernels to ensure high throughput and low latency during training and inference.</div>

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 GPU Kernel Engineer, you will design efficient implementations of novel model architectures and optimize kernels to ensure high throughput and low latency during training and inference.


<li>Write efficient custom kernels for training and inference in CUDA/CuTe/Cutlass</li><li>Optimize inference for our novel architectures, both by writing more efficient code and thinking about how we can sacrifice accuracy for speed</li><li>Understand and optimize for H100 GPUs</li><li>Think beyond the kernel level to the broader scheme of how we train these models and suggest improvements</li><div><br></div><div>We want someone who delights in optimization and loves seeing numbers go down. Here, a 1% optimization can save us hundreds of thousands of dollars in our most tightly used kernels. We have many ideas for new architectures, but often lack the engineering time necessary to write kernels for them, and they are often impracticable to implement in PyTorch. You will help with these kernels as they are optimized for large scale training and inference.</div>

<li>Understands and has worked on GPU programming, ideally matmul-heavy workloads</li>

<li><b>Integrity. </b>Words and actions should be aligned.</li><li><b>Hands-on.</b> 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.</li><li><b>Teamwork.</b> We move as one team, not N individuals.</li><li><b>Focus.</b> Ethically deploy AGI. Everything else is noise.</li><li><b>Quality.</b> We have high standards for ourselves and our products. Magic should feel like magic.</li>

<li>Benchmark-based compensation in the 75th or 90th percentile, including base salary, generous equity, and benefits</li><li>401K with 6% match</li><li>Flexible working hours</li><li>In-person (SF or Vienna) or remote</li><li>A small, fast-paced, highly focused team</li>

<div>Join us to build and safely deploy aligned, superhuman AI. For decades, technology was "just a tool" - could it be a colleague?</div><div><br></div><div>We are building an AI pair programmer that feels like a full colleague inside your computer - capable, conversational, and reliable across domains. If this isn't AGI, then what is? Join us if you want to build and safely deploy aligned AGI in products that matter. </div><div><br></div><div>As a Principal Product Designer, you will talk to users, develop user experience strategy and design, ​​and take ownership of everything that takes a product from good to "can't imagine it any other way". </div>

Join us to build and safely deploy aligned, superhuman AI. For decades, technology was "just a tool" - could it be a colleague?

We are building an AI pair programmer that feels like a full colleague inside your computer - capable, conversational, and reliable across domains. If this isn't AGI, then what is? Join us if you want to build and safely deploy aligned AGI in products that matter. 

As a Principal Product Designer, you will talk to users, develop user experience strategy and design, ​​and take ownership of everything that takes a product from good to "can't imagine it any other way". 


<li><b>Familiar with dev tools</b>: our users are software engineers, so it helps if you have been (or are) a software engineer, or have designed dev tools before</li><li><b>Full cycle designer:</b> you have owned everything UI/UX and product at a startup&nbsp;</li><li><b>Very hands-on </b>you are a principal level thinker, but are still blurringly fast with Figma</li><li><b>Comfortable with complexity:</b> you handle highly complex and technical products with relative ease</li><li><b>High-energy: </b>you love what you do</li><li><b>Ambition: </b>you want to make something great</li><li><b>Creative: </b>you have many ideas and you love bringing them up</li><li><b>Attention to detail:</b> you noticed that we forgot the ":" after "Very hands-on", and it bothered you.</li>

<li><b>Integrity. </b>Words and actions should be aligned.</li><li><b>Hands-on.</b> Most of us have previously led 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.</li><li><b>Teamwork.</b> We move as one team, not as N individuals.</li><li><b>Focus.</b> Ethically deploy AGI. Everything else is noise.</li><li><b>Quality.</b> We have high standards for ourselves and our products. Magic should feel like magic.</li>

<div><span style="font-size: 11pt">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.</span></div><div><br></div><div><span style="font-size: 15px">As a Software Engineer building Magic's core product, you are also the most important user.&nbsp; You ensure that Magic is intuitive, visually appealing, seamlessly integrates into any IDE, and feels Magical.&nbsp; If you love it, our users will too.&nbsp; If you don't, it's your responsibility to make it lovable. </span></div>

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 building Magic's core product, you are also the most important user.  You ensure that Magic is intuitive, visually appealing, seamlessly integrates into any IDE, and feels Magical.  If you love it, our users will too.  If you don't, it's your responsibility to make it lovable. 


<li>Take the lead in defining what should be built and then building it</li><li>Craft front-end solutions to elevate user experience</li><li>Lead the development of responsive and visually compelling web interfaces</li><li>Collaborate with the team to bring design mockups to life in functional web applications</li><li>Be relentless about finding and fixing problems that a user might encounter</li>

<li>Very strong experience as a Software Engineer with an emphasis on front-end development</li><li>Exceptional speed and efficiency using modern front-end frameworks such as React, but you are not tied to or defined by one framework</li><li>Mastery of Typescript, Javascript, HTML and CSS</li><li>Proficiency in Java, Kotlin and Python</li><li>You care about the little details! Little things matter.</li><li>You love coding</li>

<div>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.</div><div><br></div><div><span style="font-size: 15px">As a Research Engineer, you’ll work on training, evaluating, and serving large AI models, build internet-scale dataset, and help prototype new research and product ideas.</span></div>

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 Research Engineer, you’ll work on training, evaluating, and serving large AI models, build internet-scale dataset, and help prototype new research and product ideas.


<li><b>Pre-training: </b>Distributed training across large GPU clusters</li><li><b>Inference: </b>Optimizing inference throughput of a custom neural net architecture</li><li><b>RL: </b>Continual learning to train AI models on user feedback</li><li><b>Tool use:</b> Implement interfaces to allow our AI models to interact with real-world tools or APIs</li><li><b>Algorithms: </b>Design, test, and optimize new model architectures</li><li><b>Internet-scale data: </b>E.g. scraping much of YouTube</li>

<li><b>Integrity. </b>Words and actions should be aligned.</li><li><b>Hands-on.</b> Many 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.</li><li><b>Teamwork.</b> We move as one team, not N individuals.</li><li><b>Focus.</b> Ethically deploy AGI. Everything else is noise.</li><li><b>Quality.</b> We have high standards for ourselves and our products. Magic should feel like magic.</li>

<div>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.</div><div><br></div><div>As a Distributed Systems Engineer, you write efficient and robust pipelines for giant, multimodal datasets. If you love scaling things and maximizing reliability, this role is for you.</div>

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 Distributed Systems Engineer, you write efficient and robust pipelines for giant, multimodal datasets. If you love scaling things and maximizing reliability, this role is for you.


<li>Design &amp; independently implement a deterministic processing pipeline for our web crawl</li><li>A/B testing infrastructure</li><li>Crawling petabytes worth of image, audio or video data</li><li>A generalised dataset pipeline that makes creation of new, smaller and more specialized datasets easy for our contractors</li>

<li>Is great at distributed systems</li><li>Obsessed with details, reliability, and good testing</li>

<div>Join us to build and safely deploy aligned, superhuman AI. For decades, technology was "just a tool" - could it be a colleague?</div><div><br></div><div>We are building an AI pair programmer that feels like a full colleague inside your computer - capable, conversational, and reliable across domains. If this isn't AGI, then what is? Join us if you want to build and safely deploy aligned AGI in products that matter.</div><div><br></div><div><span style="font-size: 11pt">As a Senior Software Engineer</span>, you'll work on frontend, backend, or infrastructure to make our models accessible and useful to developers around the world.</div>

Join us to build and safely deploy aligned, superhuman AI. For decades, technology was "just a tool" - could it be a colleague?

We are building an AI pair programmer that feels like a full colleague inside your computer - capable, conversational, and reliable across domains. If this isn't AGI, then what is? Join us if you want to build and safely deploy aligned AGI in products that matter.

As a Senior Software Engineer, you'll work on frontend, backend, or infrastructure to make our models accessible and useful to developers around the world.


<li><b>5y+ experience</b> as a software developer</li><li><b>High-energy: </b>you love what you do</li><li><b>Ambition: </b>you want to make something great</li>

<div><span style="font-size: 11pt">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.</span></div><div><br></div><div><span style="font-size: 11pt">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.&nbsp; If you love scaling things, enjoy getting the most out of compute infra and maximizing reliability, this role is for you.</span></div>

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.


<li>Lead and participate in projects to build massive scale, highly available and secure training, production and development infrastructure.</li><li>Ensure highly available GPU workloads for training and production inference purposes</li><li>Respond to and investigate incidents across security and availability</li><li>Platform Engineering to enable our engineers to be super fast</li><li>Come up with and propose ways of accelerating the team</li><li>Troubleshoot and resolve issues across GPU resources, networking, OS, drivers and cloud environments, automate detection and recovery of such issues</li>

<li>Very strong linux knowledge in the k8s VM and bare metal context, including bash scripting and troubleshooting</li><li>Strong hardware knowledge around server hardware, networking hardware and GPUs</li><li>Strong IaC knowledge with extensive experience in Terraform or Pulumi</li><li>Extensive experience with either AWS and GCP, ideally with both</li><li>Very strong coding skills</li><li>Very strong knowledge of hardening cloud native and especially k8s workloads</li>

Senior Software Engineer - Compute Infrastructure

Join us

Business Operations Lead

Chief of Staff

GPU Kernel Engineer

Principal Product Designer

Product Engineer

Research Engineer

Senior Distributed Systems Engineer

Senior Software Engineer

Senior Software Engineer - Compute Infrastructure