Member of Technical Staff (AI Infrastructure Engineer)

Job summary

Responsibilities

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…

• 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

What they're looking for

• 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)

Tech stack

• Kubernetes
• Python
• C++
• PyTorch
• AWS
• CUDA
• TensorFlow
• Terraform