GPU Systems Engineer

GPU Systems Engineer

A top-tier proprietary trading firm is seeking a GPU Systems Engineer to join their global infrastructure team. You will play a critical role in designing, optimizing, and maintaining the GPU compute environments that support advanced quantitative research and machine learning pipelines in a low-latency trading context.

Key Responsibilities :

• Design and maintain GPU-based systems for high-throughput, low-latency workloads across research and production environments.
• Collaborate with quants, researchers, and engineering teams to deliver high-performance GPU compute infrastructure for model training, simulation, and real-time inference.
• Optimize GPU system configuration at the hardware, OS, and driver level, including memory, I / O, and thermal performance.
• Automate deployment, monitoring, and maintenance of GPU clusters using modern IaC and DevOps tools.
• Evaluate new GPU hardware, interconnects (e.g., NVLink, Infiniband), and vendor driver stacks to inform infrastructure strategy.

Qualifications :

Join a technology-first trading firm with a collaborative culture, flat hierarchy, and significant investment in research infrastructure. Enjoy top-of-market compensation and the opportunity to work on some of the most challenging and impactful systems in the industry.

Apply now for a confidential discussion.