Member of Technical Staff (AI Infrastructure Engineer)

Highlights

• Build, deploy and optimize large-scale AI training and inference clusters.
• Partner closely with inference and research teams on critical AI workloads.
• Maintain high uptime for long-running training jobs and inference services.

What they offer

• equity
• health insurance
• dental insurance
• vision insurance
• retirement benefits
• fitness benefits
• commuter benefits
• dependent care accounts

Ideal candidate

Infrastructure-minded engineer with 3-5 years supporting ML systems who thrives on reliability and scale. You enjoy partnering with researchers and owning critical training and inference infrastructure end to end.

Requirements

• Strong expertise in Kubernetes administration including CRDs, operators and cluster management
• Hands-on experience with Slurm workload management, job scheduling and cluster optimization
• Experience deploying and managing distributed training systems at scale
• Experience managing GPU clusters and optimizing compute resource utilization
• Python and C++ programming focused on systems and infrastructure automation
• Hands-on experience with PyTorch in distributed training contexts
• Ideally 3-5 years managing large-scale Kubernetes and Slurm infrastructure with SRE, DevOps or Platform background