Member of Technical Staff, Pre-training Systems

Highlights

• Design and operate infrastructure training long-context models at scale.
• Make massive pre-training runs stable, fast and reproducible.
• Tackle memory, communication and reliability challenges at extreme scale.

What they offer

• 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

Ideal candidate

A systems-minded engineer who thrives owning critical infrastructure at extreme scale. You care about performance, reliability, and enabling frontier AI research through hands-on building.

Requirements

• Strong software engineering and distributed systems fundamentals
• Experience training large models in multi-node GPU environments
• Deep understanding of parallelism strategies and performance trade-offs
• Experience debugging cross-layer issues in production ML systems
• Strong ownership mindset and ability to operate critical infrastructure
• Track record of improving performance or reliability of large-scale systems