Elevate your career as a GPU Infrastructure Specialist with DRW, focusing on optimizing performance for AI and ML workloads in Chicago. Join a team dedicated to cutting-edge technology and cutting-edge solutions. As part of the AI and Multi Asset Systematic Strategies team, you will deploy, maintain, and enhance GPU infrastructure.

Your role will involve systems engineering, performance optimizations, and collaborating with ML engineers on complex workloads. This position offers an incredible opportunity to work with industry-leading technologies in a agile environment. Key Responsibilities:
Deploy and optimize GPU infrastructure for LLM inference workloads
Architect distributed serving solutions for multi-GPU deployments




Manage GPU-enabled Kubernetes clusters for ML workloads
Configure network infrastructure for GPU clusters
Troubleshoot performance bottlenecks across the stack Requirements:
Bachelor’s or Master’s in Computer Science or related field
5+ years in DevOps, SRE, or infrastructure engineering roles
Strong experience with GPU infrastructure and model serving frameworks
Proficiency in Python and Bash scripting
Knowledge of monitoring tools like Prometheus Bring your expertise in GPU technology and systems engineering to the cutting-edge team at DRW.

📌 Gpu Infrastructure Specialist At Drw Montreal
🏢 DRW Montreal
📍 Montreal