Build aligned and more complete AI to accelerate humanity’s progress on the world’s most important problems
June 22
🏢 In-office - San Francisco
Build aligned and more complete AI to accelerate humanity’s progress on the world’s most important problems
• As a distributed systems engineer, you will build the data and coordination systems that enable ultra-long context inference and training on Magic’s GPU clusters.
• Deep knowledge of distributed systems design and public cloud platforms • Experience designing and operating highly available, high-throughput data systems • Experience with the internals of distributed DBMS, batch and stream processing systems, and/or distributed file systems • Exceptional problem-solving skills up and down the stack
• Annual salary range: $90K - $900K • Equity is a significant part of total compensation, in addition to salary • 401(k) plan with 6% salary matching • Generous health, dental and vision insurance for you and your dependants • Unlimited paid time off • Option to work in-person in SF or remotely • Visa sponsorship and relocation stipend to bring you to SF • A small, fast-paced, highly focused team
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