Senior GPU Infrastructure Architect for Open-Scale AI

Methodfi; City of London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A technology startup is looking for an experienced infrastructure engineer to design and operate large-scale GPU systems. Your role will involve optimizing performance and cluster management while collaborating with research teams. The ideal candidate has deep systems experience in distributed computing and a strong understanding of GPU frameworks. This position offers top-tier compensation and benefits, including paid parental leave and health insurance.

Benefits

Competitive salary and equity

Comprehensive health insurance

Paid parental leave

Paid time off

Daily meals provided

Qualifications

• Experience in high-performance or distributed computing environments required.
• Familiarity with containerization and orchestration tools needed.
• Strong understanding of modern observability stacks and performance profiling.

Responsibilities

• Design and operate large-scale GPU infrastructure.
• Develop high-performance scheduling and orchestration systems.
• Optimize cluster utilization while maintaining reliability.

Skills

Infrastructure engineering

High-performance computing

Distributed computing

GPU knowledge

CUDA

Kubernetes

Containerization

Tools

PyTorch

DeepSpeed

JAX

Slurm

Job description

A technology startup is looking for an experienced infrastructure engineer to design and operate large-scale GPU systems. Your role will involve optimizing performance and cluster management while collaborating with research teams. The ideal candidate has deep systems experience in distributed computing and a strong understanding of GPU frameworks. This position offers top-tier compensation and benefits, including paid parental leave and health insurance.