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Software Engineer - Supercomputing Platform & Infrastructure

Magic is dedicated to building safe AGI to tackle humanity's most pressing challenges. The Software Engineer will design and implement optimized solutions for AI workloads on large computing clusters, ensuring high performance and reliability across various systems.

Research Engineer

Magic is focused on building safe AGI to tackle significant global challenges. The role of a Research Engineer involves training and evaluating large AI models, developing datasets, and prototyping innovative research and product ideas.

Kernel Engineer

Magic is on a mission to build safe AGI that accelerates humanity’s progress on important problems. As a Kernel Engineer, you will design, implement, and maintain high-performance kernels to optimize throughput and latency during training and inference.

Distributed Systems Engineer

Magic is focused on building safe AGI to accelerate humanity’s progress on critical problems. The role of a distributed systems engineer involves developing data and coordination systems for ultra-long context inference and training on GPU clusters.

Software Engineer - Post-training Data

Magic is dedicated to building safe AGI to accelerate humanity's progress on critical problems. The Software Engineer will focus on developing data pipelines and collaborating with research teams to manage diverse datasets at scale.

Software Engineer - Product

Magic is a company focused on building safe AGI to address critical global challenges. The Software Engineer on the product team will be responsible for developing and maintaining product surfaces that integrate with their models and infrastructure, collaborating with design and engineering teams to create user-friendly applications.

Recruiting Operations

Magic.dev is dedicated to building safe AGI to tackle humanity's most pressing challenges. They are seeking a Recruiting Operations leader who will design and implement systems and processes to enhance the company's hiring capabilities while maintaining high standards of quality and candidate experience.

Recruting Operations

Distributed Compute Engineer

Magic is working on frontier-scale code models to build a coworker, not just a copilot. As a Distributed Compute Engineer at Magic, you will be responsible for building the stack and systems that enable large-scale AI model training and inference on GPU clusters.

Magic is an AI coding startup that enables developers to work with AI to find code for building apps. The Software Engineer will focus on developing efficient data pipelines and collaborating with research teams to gather and maintain diverse datasets at scale.

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.