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Member of Technical Staff (AI Infrastructure Engineer)

Perplexity· AI Research & Systems
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Hybrid (London)Full-timePosted 6mo ago

About the role

AI Infrastructure Engineer role focusing on building, deploying, and optimizing large-scale AI training and inference clusters using Kubernetes, Slurm, Python, C++, PyTorch on AWS; collaborates with Inference and Research teams to support AI model workloads.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:Kubernetes administrationSlurmPythonC++PyTorchDistributed systemsGPU management
Nice to have:LLM training concepts
Last updated Jul 15, 2026. Interested? Apply on the company site.

About Perplexity

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