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Magic: Amplify Partners

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Member of Technical Staff, Kernels

Magic is on a mission to build safe AGI to accelerate humanity's progress on critical problems. They are seeking a Kernel Engineer to design, implement, and maintain high-performance kernels aimed at optimizing throughput and latency during training and inference.

Member of Technical Staff, Pre-training Systems

Magic is on a mission to build safe AGI that accelerates humanity’s progress on the world’s most important problems. As a Software Engineer on the Pre-training Systems team, you will design and operate the distributed infrastructure that trains Magic’s long-context models at scale, focusing on large-scale model training across massive GPU clusters.

Member of Technical Staff, Product

Magic is dedicated to building safe AGI to accelerate humanity's progress on critical issues. As a Software Engineer on the Product team, you will develop user-facing systems that leverage Magic’s long-context models, encompassing both frontend and backend development, API design, and deep model integration.

Member of Technical Staff, Supercomputing Platform & Infrastructure

Magic is dedicated to building safe AGI to accelerate humanity's progress on critical problems. The role involves designing and operating large-scale GPU infrastructure for model training and inference, while ensuring reliability and operational clarity across clusters.

Member of Technical Staff, RL Research & Environments

Magic is on a mission to build safe AGI that accelerates humanity's progress on the world's most important problems. The Software Engineer on the RL Research & Environments team will design and operate systems that improve model capabilities after pre-training, focusing on identifying capability gaps, building datasets, and running iterative training loops.

Member of Technical Staff, Inference & RL Systems

Magic is on a mission to build safe AGI that accelerates humanity’s progress on important problems. The role involves designing and operating distributed systems for model inference and large-scale RL workflows, ensuring performance and reliability in production environments.

Magic is focused on building safe AGI to accelerate humanity's progress on critical issues. The role involves designing, building, and operating large-scale GPU infrastructure for model training and inference, ensuring operational reliability and clarity across extensive clusters.

Magic is dedicated to building safe AGI to accelerate humanity's progress on critical issues. As a Software Engineer on the RL Research & Environments team, you will design and operate systems that enhance model capabilities post-training, focusing on data generation, evaluation, and environment design.

GPU Kernel Engineer

Magic is an AI coding startup that enables developers to work with AI to find code for building apps. 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.

Magic.dev is dedicated to building safe AGI to accelerate humanity's progress on significant problems. They are seeking a Software Engineer for the Pre-training Systems team to design and operate the distributed infrastructure for training long-context models at scale, focusing on large-scale model training and ensuring performance and reliability under extreme conditions.