AI Compute and Infrastructure Engineer

The Team:

• This dedicated AI Compute and Infrastructure team owns the backbone for running AI workloads with control, speed, and reliability.
• You will join a small, senior team working directly with AI researchers, platform engineers, and product teams to build production-grade infrastructure.

Key Responsibilities:

• Design and operate GPU clusters, including scheduling, configuration, workload isolation, and cost optimization.
• Optimize inference pipelines for performance and cost using advanced serving frameworks and tooling.
• Build observability systems for utilization, latency, and capacity, and drive reliability and incident response improvements.

Required Skills:

• 5+ years in infrastructure engineering with hands-on experience operating GPU clusters and ML infrastructure in production.
• Strong systems fundamentals in Linux, networking, containers, Kubernetes, and proficiency in Python for automation.
• Experience with ML serving frameworks, performance tradeoffs, cost optimization, and building observable, high-availability systems.