ashby
Kernel Engineer
Magic AI
San Francisco, USA
Full-time
Mid
Onsite
USD 225000-550000 yearly / year
Discovered 1 weeks ago
CUDAXLAGPUTPUCPU
Free
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CUDAXLAGPU
Role Overview
As a Kernel Engineer, you will design, implement and maintain high-performance kernels to optimize throughput and latency during training and inference.
Key Skills for This Role
CUDAXLAGPUTPUCPU
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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.
What you might work on:
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
What we’re looking for:
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.
Our culture:
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
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