
Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev

Magic is working on frontier-scale code models to build a coworker, not just a copilot. Come join us: http://magic.dev
Headquarters: San Francisco, CA
Focus: Frontier-scale generative AI models for code and research automation
Founding year: 2022
Founders: Eric Steinberger; Sebastian De Ro
Total funding (reported): Approximately $465M–$515M
Employee count (snapshot): 99
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Automating software engineering and AI research using frontier-scale language models.
2022
Artificial intelligence; developer tools
$320,000,000
Reported contributions from Eric Schmidt, CapitalG (Alphabet), Sequoia, Atlassian, Jane Street, and individual investors including Nat Friedman, Daniel Gross and Elad Gil.
$23,000,000
Participation from Elad Gil, Nat Friedman and Amplify Partners.
“Includes strategic and high-profile investors (Eric Schmidt, CapitalG/Alphabet, Sequoia, Atlassian, Jane Street) and notable individual investors (Nat Friedman, Daniel Gross, Elad Gil).”
Distributed Systems Engineer: Secure Sandboxes Location: San Francisco, New York City, Seattle (or remote US)
Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.
About the role: As a Software Engineer on the Supercomputing Platforms and Infrastructure team, you will build the next generation systems that power large scale AI research and deployment. You will focus on sandboxed execution environments, distributed systems orchestration, and performance optimized compute workflows. You will work closely with ML and Research teams and Infrastructure teams to deliver both high throughput, scale, and strong isolation guarantees in a cluster environment.
What you might work on:
What we are looking for:
Nice to haves:
Why join us:
Our culture:
Compensation, benefits, and perks (US):