AI Platform Support Engineer (EMEA)
Lightning AI14 days ago
London, United KingdomMid Level
Responsibilities
- Partner directly with customer engineering teams running production training and inference workloads.
- Diagnose distributed systems, Kubernetes, GPU, networking, storage, PyTorch, CUDA, NCCL, and inference-serving issues.
- Analyze logs, metrics, traces, and system behavior to identify root causes and performance bottlenecks.
- Support workloads scaling across multi-node GPU systems and both Kubernetes and bare-metal environments.
- Advise customers during high-impact incidents and platform degradation events.
- Drive reliability improvements through post-incident reviews, automation, tooling, documentation, runbooks, and improved observability.
- Collaborate with infrastructure, networking, and platform engineering teams to improve troubleshooting workflows and customer experience.
Requirements
- Strong software engineering and systems troubleshooting background.
- Experience with Kubernetes, containerized environments, cloud infrastructure, and distributed systems.
- Linux knowledge covering networking, storage, process management, and performance tuning.
- Experience operating machine learning workloads and troubleshooting reliability, performance, or scaling issues in production or research environments.
- Experience with distributed ML tooling such as PyTorch, CUDA, or NCCL, plus familiarity with GPU infrastructure and orchestration.
- Experience with observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry.
- Strong communication skills and the ability to work directly with highly technical customers and engineering teams.
- Preferred qualifications include experience with large-scale model training, distributed inference, Ray, Kubeflow, Slurm, InfiniBand, RDMA, high-performance networking, bare-metal infrastructure, ML storage systems, platform engineering, developer infrastructure, operational tooling, or Python automation.
Benefits
- Annual base salary range of £75,000–£95,000 GBP, plus eligible discretionary bonus, equity, and comprehensive benefits.
- Medical, dental, and vision coverage for employees and eligible dependents.
- RSUs, U.K. pension contributions, unlimited PTO, company holidays, floating holidays, and a two-week company-wide winter break.
- Paid parental and family leave, professional development allowance, wellness benefits, and work-from-home stipends.
- Four weeks of paid sabbatical after four years of service, flexible schedules, and a hybrid work model.
- Complimentary meals at office hubs.
- Hybrid London arrangement requiring at least two days per week in the office, with occasional team and company offsites.
- Two available EMEA shifts run 9AM–7PM CET/CEST: Saturday–Tuesday or Thursday–Sunday.
Tech Stack
Categories
About Lightning AI
Lightning AI builds an end-to-end platform for prototyping, training, and deploying AI systems, alongside open-source tools such as PyTorch Lightning and torchmetrics. It offers a browser-based studio and managed GPU infrastructure for teams ranging from solo researchers to large enterprises, with built-in observability and controls. Founded in 2019 and headquartered in New York, the company merged with Voltage Park to pair developer-first software with large-scale, cost-efficient compute.