Software Engineer, Systems ML (Technical Leadership)

Highlights

• Define architectural foundations powering large-scale ML infrastructure.
• Solve hardest cross-system challenges across training and inference.
• Shape multi-year roadmaps for next-generation ML systems platforms.

What they offer

• bonus
• equity
• benefits

Ideal candidate

Principal-level systems thinker who spots hidden infrastructure problems and drives them to resolution at org scale. You care about architectural craft, reliability, and amplifying teams through AI-native workflows.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering or related field or equivalent experience
• 12+ years of software engineering experience with ML systems specialization
• Experience architecting large-scale ML training or inference infrastructure with org-wide impact
• Experience leading multi-year cross-functional technical initiatives across org boundaries
• Experience building high-performance ML systems in C++, Python or CUDA
• Experience influencing technical direction via proposals, design reviews and stakeholder alignment