Member of Technical Staff (AI Infrastructure Engineer)

Posted: 2026-04-13

We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters

- Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads

- Manage and optimize Slurm-based HPC environments for distributed training of large language models

- Develop robust APIs and orchestration systems for both training pipelines and inference services

- Implement resource scheduling and job management systems across heterogeneous compute environments

- Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure

- Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm

- Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services

- Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands

- Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management

- Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization

- Experience with deploying and managing distributed training systems at scale

- Deep understanding of container orchestration and distributed systems architecture

- High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)

- Experience managing GPU clusters and optimizing compute resource utilization