Magic is an innovative company focused on building frontier code models to automate software engineering and research. They are working towards achieving safe Artificial General Intelligence (AGI) by automating AI research and code generation, aiming to solve alignment issues more reliably than human efforts alone. The company employs advanced techniques such as frontier-scale pre-training, domain-specific reinforcement learning, and ultra-long context computation. With significant backing, including $515 million in funding, Magic is a small but dedicated team of engineers and researchers addressing fundamental research problems related to AGI.
December 2, 2024
🇺🇸 United States – Remote
💵 $100k - $550k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
Magic is an innovative company focused on building frontier code models to automate software engineering and research. They are working towards achieving safe Artificial General Intelligence (AGI) by automating AI research and code generation, aiming to solve alignment issues more reliably than human efforts alone. The company employs advanced techniques such as frontier-scale pre-training, domain-specific reinforcement learning, and ultra-long context computation. With significant backing, including $515 million in funding, Magic is a small but dedicated team of engineers and researchers addressing fundamental research problems related to AGI.
• Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. • Design and build resilient and optimized solutions for AI workloads on massive Computing Clusters. • Work closely with the training and inference teams to deliver high performance and reliability across storage, networking, and distributed computing designs. • Build the software stack to run massive-scale (thousands of GPUs), highly available supercomputing infrastructure. • Troubleshoot and resolve complex issues across hardware accelerated devices, networking, storage subsystems (local NVMe/Block Storage/NFS), OS, drivers and cloud environments, and automate detection and recovery processes. • Operate data-intensive workloads at petabyte-scale. • Increase the ease-of-use and self-serviceability of the compute platforms at Magic through top-notch documentation and developer workflow design. • Investigate and resolve incidents across security and availability.
• Experience working with production GPU deployments, data-intensive applications, large-scale model training and HPC • Strong understanding of networking-, storage- and data-related technologies • Experience with GCP, AWS, Azure, OCI or similar cloud platforms • Strong software engineering skills • Strong IaC knowledge with extensive experience in Terraform, Pulumi, AWS CDK/CloudFormation or similar
• Annual salary range: $100K - $550K • 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 dependents • Unlimited paid time off • Visa sponsorship and relocation stipend to bring you to SF, if possible • A small, fast-paced, highly focused team
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