Kernel Engineer

November 12, 2024

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Magic

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.

2 - 10 employees

Founded 2021

πŸ€– Artificial Intelligence

πŸ“‹ Description

β€’ Design, implement and maintain high-performance kernels to optimize throughput and latency during training and inference. β€’ Design, develop and optimize custom high-performance GPU kernels β€’ Evaluate porting Magic’ compute kernels to alternative hardware options β€’ Suggest improvements to how we train and inference our models

🎯 Requirements

β€’ Experience with low-level programming of AI accelerators (e.g. CUDA, XLA) β€’ Deep understanding of GPU, TPU, and/or CPU architecture

πŸ–οΈ Benefits

β€’ Annual salary range: $100K - $550K β€’ Equity is a significant part of total compensation, in addition to salary β€’ 401(k) plan with 6% salary matching β€’ Generous health, dental and vision insurance for you and your dependents β€’ Unlimited paid time off β€’ Visa sponsorship and relocation stipend to bring you to SF, if possible β€’ A small, fast-paced, highly focused team

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