AI Platform Engineer for Production ML & Kubernetes

Lightningai

Greater London

Ibrido

GBP 75.000 - 95.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Comprehensive health coverage
Equity (RSUs)
Hybrid work model
Flexible time off
Paid parental leave

Descrizione del lavoro

Lightning AI, the company behind PyTorch Lightning, is hiring AIPlatform Support Engineers for the EMEA Customer Experience team. You will partner with ML engineers, diagnose failures in distributed systems, and guide customers through complex Kubernetes and GPU workloads in production.

We seek engineers who can diagnose performance bottlenecks, improve observability, and build runbooks. This hybrid London role requires in-office presence at least 2 days/week and supports large-scale AI

Competenze

  • Strong software engineering and systems troubleshooting background.
  • Experience with Kubernetes and containerized environments.
  • Linux systems knowledge, including networking, storage, process management, and performance tuning.
  • Experience with cloud infrastructure and distributed systems.
  • Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry.

Mansioni

  • Partner directly with customer engineering teams running training and inference workloads in production.
  • Help customers diagnose and resolve complex distributed systems and ML infrastructure issues.
  • Act as a technical advisor during high impact incidents and platform degradation events.
  • Translate infrastructure level issues into actionable guidance for ML engineers.
  • Build credibility with customers through strong technical reasoning and clear communication.
  • Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems.
  • Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues.
  • Analyze logs, metrics, traces, and system behavior to isolate root causes.
  • Debug containerized workloads running across Kubernetes and bare metal GPU environments
  • Support customers scaling workloads across multi node GPU systems
  • Diagnose performance bottlenecks involving compute, memory, networking, or storage

Conoscenze

Kubernetes
Linux
Cloud infrastructure
Distributed systems
Observability

Strumenti

Prometheus
Grafana
OpenTelemetry
PyTorch
CUDA
NCCL

Descrizione del lavoro

Lightning AI, the company behind PyTorch Lightning, is hiring AIPlatform Support Engineers for the EMEA Customer Experience team. You will partner with ML engineers, diagnose failures in distributed systems, and guide customers through complex Kubernetes and GPU workloads in production.

We seek engineers who can diagnose performance bottlenecks, improve observability, and build runbooks. This hybrid London role requires in-office presence at least 2 days/week and supports large-scale AI

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