Systems Engineer - AI Infrastructure

We're building infrastructure for fault-tolerant, high-performance distributed GPU training. You'll work at the intersection of GPU systems, high-speed networking, and distributed coordination—designing and implementing systems that run at scale.

Requirements

• Design and implement low-level systems software for GPU clusters
• Work with internals of frameworks like PyTorch, NCCL, CUDA runtime—not as a user, but modifying and extending them
• Build components that make large-scale GPU training more reliable and efficient
• Debug complex distributed/concurrent systems where failures are subtle and non-deterministic
• Own systems end-to-end: from design through production

Benefits

• Competitive compensation
• Great benefits package
• Catered lunch