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Software Engineer - Supercomputing Platform & Infrastructure

Magic is on a mission to build safe AGI that accelerates humanity’s progress on important problems. They are seeking a Software Engineer to design and build resilient solutions for AI workloads on massive computing clusters, ensuring high performance and reliability across various systems.

Technical Sourcer

Magic is dedicated to building safe AGI to tackle humanity's most significant challenges. As a Technical Sourcer, you will collaborate with various teams to identify and attract top technical talent in AI and engineering, managing the recruiting process and employing creative sourcing strategies.

Kernel Engineer

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

Software Engineer - Developer Experience & Data Tooling Lead

Magic is on a mission to build safe AGI that accelerates humanity’s progress on the world’s most important problems. They are seeking a Lead Developer Experience & Data Tooling Engineer to build internal tools and infrastructure that enhance team productivity and improve workflows.

Research Engineer

Magic is focused on building safe AGI to address humanity's most pressing challenges. As a Research Engineer, you will train, evaluate, and serve large AI models, while also working on developing innovative research and product ideas.

Software Engineer - Product

Magic is dedicated to building safe AGI to accelerate humanity’s progress on critical problems. The Software Engineer on the Product team will be responsible for developing product surfaces and collaborating across teams to create user-friendly applications.

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.

Software Engineer - Post-training Data

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.

Magic.dev is on a mission to build safe AGI that accelerates humanity’s progress on critical problems. As a Technical Sourcer, you will partner with recruiting and technical teams to attract exceptional technical talent across AI research and engineering while managing the top of the recruiting funnel and driving creative sourcing strategies.