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Frontier code models automating software engineering and research

Kraken parent Payward partners with SoFi on stablecoin, 24/7 settlement

Magic: Amplify Partners

Cursor’s $2.3B Financing Reminds Us: Coding Automation Is Still Ultra-Hot

NVIDIA introduces Rubin CPX GPU for long-context AI

Member of Technical Staff, Kernels

Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. The Member of Technical Staff, Kernels will design, implement, and maintain high-performance kernels that optimize throughput and latency for training and inference, with a focus on long-context behavior, memory utilization, data movement, robustness, and production reliability.

Member of Technical Staff, Inference & RL Systems

Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. The Member of Technical Staff will design and operate distributed systems for production model inference and large-scale reinforcement learning and post-training workflows, optimizing performance, reliability, and scalability across GPU, networking, and storage layers.

Member of Technical Staff, RL Research & Environments

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.

Member of Technical Staff, Pre-training Systems

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.

Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. The Member of Technical Staff, Pre-training Systems will design and operate distributed infrastructure for training long-context models across massive GPU clusters, improving performance, reliability, fault tolerance, reproducibility, and throughput while collaborating with Kernels and Research.

Research Engineer

Magic is dedicated to building safe AGI to tackle humanity's most pressing challenges. As a Research Engineer, you will focus on training and evaluating large AI models, optimizing novel architectures, and developing internet-scale datasets to support research and product innovation.