GPU Fleet Automation Engineer (Hybrid)

Tower Research Capital; New York (NY); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Generous PTO

Hybrid work

Free meals

Job summary

Tower Research Capital in New York seeks a software engineer to own the tooling behind day-to-day GPU operations—management, monitoring, metrics collection, maintenance, and network configuration.

You will troubleshoot issues from application to kernel, tune workloads for efficiency, and surface trends from GPU job statistics. The role offers a hybrid work setup with a globally distributed team and challenging, impact-driven projects.

Qualifications

• BS or MS in computer science or a related field.
• 2+ years of relevant experience, including Python development and hands-on GPU management.
• Automation-first mindset. When a workflow is manual, slow, or error-prone, you reach for code.
• Experience deploying, troubleshooting, and tuning a range of GPU hardware.
• Strong computer science fundamentals and sound software design instincts.
• Solid working knowledge of Linux/UNIX and comfort with open-source software.
• Sharp debugging. You get to the bottom of problems quickly and methodically.
• Familiarity with configuration management and monitoring technologies.
• Organized, adaptable, and collaborative. You can juggle several tasks with careful attention to detail, work independently or with the team, and pick up new skills fast.

Responsibilities

• Build and maintain the tooling that automates GPU fleet operations: management, monitoring, metrics collection, maintenance, and network configuration.
• Troubleshoot software and hardware issues across the fleet, from application and network problems down to the operating system and kernel.
• Work with engineering teams across the firm to tune workloads and processes so they use GPUs more efficiently.
• Analyze GPU job statistics to surface trends, inefficiencies, and opportunities for improvement.

Skills

Python development

GPU management

Linux/UNIX

Debugging

CI/CD

Configuration management

Problem solving

Education

BS or MS in computer science

Tools

CUDA

Linux tooling

Job description

Tower Research Capital in New York seeks a software engineer to own the tooling behind day-to-day GPU operations—management, monitoring, metrics collection, maintenance, and network configuration.

You will troubleshoot issues from application to kernel, tune workloads for efficiency, and surface trends from GPU job statistics. The role offers a hybrid work setup with a globally distributed team and challenging, impact-driven projects.