GPU Compute Infra Engineer: Kubernetes & Scheduling

Remote Worker LTD.; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Remote Worker LTD. is seeking an Infrastructure Engineer to own GPU compute for model training, evaluation and serving.

You will run Kubernetes clusters, manage scheduling, and ensure reliable performance of a globally distributed GPU stack. You’ll collaborate with research, product and platform teams, work with cloud providers, and progressively take ownership of scheduling, node health, capacity, and multi-region expansion over the first year.

Qualifications

• Experience running GPU workloads on Kubernetes.
• Ability to design a GPU cluster for training and online RL from scratch.
• Debugging at the OS level and below (Linux, GPU drivers, networking).
• Strong Python programming skills.

Responsibilities

• Run Kubernetes clusters for GPU training and inference.
• Improve scheduling and placement of GPU work.
• Detect, drain and repair unhealthy GPU nodes.
• Manage capacity with cloud providers.

Skills

GPU workloads

Kubernetes

Python

Tools

Linux

Cloud providers

Job description

Remote Worker LTD. is seeking an Infrastructure Engineer to own GPU compute for model training, evaluation and serving.

You will run Kubernetes clusters, manage scheduling, and ensure reliable performance of a globally distributed GPU stack. You’ll collaborate with research, product and platform teams, work with cloud providers, and progressively take ownership of scheduling, node health, capacity, and multi-region expansion over the first year.