Staff Software Engineer - AI Research Infrastructure

Highlights

• Run research stack orchestrating training and inference across thousands of GPUs.
• Turn experimental AI workloads into robust pipelines shipping models to customers.
• Enable researchers to go from idea to large-scale experiment in minutes, not days.

What they offer

• annual performance bonus
• equity

Ideal candidate

Seasoned infrastructure engineer who loves enabling researchers, thriving at the intersection of systems and ML. Pragmatic, fast-moving and operationally excellent, you mentor others and turn prototypes into reliable large-scale platforms.

Requirements

• BS/MS or PhD in Computer Science or related field
• 5+ years of software engineering experience with large-scale distributed systems or infrastructure
• Deep experience building and operating distributed systems, data pipelines or backend services
• Proficient in systems programming languages and designing complex services
• Built or contributed to cluster schedulers, resource managers or job orchestration systems
• Understand modern ML training and inference workflows