Magic’s mission is to build safe AGI that accelerates humanity’s progress on the world’s most important problems. We believe the most promising path to safe AGI lies in automating research and code generation to improve models and solve alignment more reliably than humans can alone. Our approach combines frontier-scale pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal.
About the role:
As a Kernel Engineer, you will design, implement and maintain high-performance kernels to optimize throughput and latency during training and inference.
Design, develop and optimize custom high-performance GPU kernels
Evaluate porting Magic’ compute kernels to alternative hardware options
Think beyond the kernel level to the broader scheme of how we train and inference our models and suggest improvements
Experience with low-level programming of AI accelerators (e.g. CUDA, XLA)
Deep understanding of GPU, TPU, and/or CPU architecture
Magic strives to be the place where high-potential individuals can do their best work. We value quick learning and grit just as much as skill and experience.
Integrity. Words and actions should be aligned
Hands-on. At Magic, everyone is building
Teamwork. We move as one team, not N individuals
Focus. Safely deploy AGI. Everything else is noise
Quality. Magic should feel like magic
Annual salary range: $100K - $550K
Equity is a significant part of total compensation, in addition to salary
401(k) plan with 6% salary matching
Generous health, dental and vision insurance for you and your dependents
Unlimited paid time off
Visa sponsorship and relocation stipend to bring you to SF, if possible
A small, fast-paced, highly focused team
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