Senior AI Compute & GPU Infrastructure Engineer

Kraken; Portugal; On-site; EUR 55,000 - 75,000; Full time

Job summary

Kraken is seeking an experienced infrastructure engineer to lead the AI Compute and Infrastructure team in Portugal. The role focuses on building and operating GPU and accelerator clusters for AI workloads, optimizing performance and costs. Candidates should have over 5 years of experience in infrastructure engineering, particularly with GPU and ML systems, alongside experience with tools like Triton and TensorRT. This is a high-impact position requiring collaboration across various technical teams.

Qualifications

• 5+ years of infrastructure engineering experience, especially with GPU compute and ML infrastructure.
• Experience operating GPU clusters or accelerator-backed infrastructure in production.
• Strong systems engineering fundamentals across multiple areas.

Responsibilities

• Own and operate GPU and accelerator clusters for various AI workloads.
• Design infrastructure for local model execution on GPUs.
• Build observability and reliability for the AI compute infrastructure.

Skills

Infrastructure engineering

GPU compute

ML infrastructure

High-performance computing

Distributed systems

Python

Kubernetes

Containers

Tools

Triton Inference Server

TensorRT

CUDA

Rust

C++

Job description

Kraken is seeking an experienced infrastructure engineer to lead the AI Compute and Infrastructure team in Portugal. The role focuses on building and operating GPU and accelerator clusters for AI workloads, optimizing performance and costs. Candidates should have over 5 years of experience in infrastructure engineering, particularly with GPU and ML systems, alongside experience with tools like Triton and TensorRT. This is a high-impact position requiring collaboration across various technical teams.