GPU Fleet Automation Engineer

Tradermath; New York (NY); Hybrid; USD 200,000 - 300,000; Full time

Benefits offered by this job

Hybrid working opportunities

Free breakfast, lunch, and snacks

Wellness reimbursement (gym, training)

Company-sponsored sports teams and FIT

Volunteer opportunities

Social events and celebrations

Workshops and continuous learning

Job summary

Tower Research Capital is seeking an engineer to own the tooling behind day-to-day GPU operations, including management, monitoring, metrics collection, maintenance, and network configuration. You will troubleshoot issues spanning application to kernel and help optimize GPU workloads across the fleet.

With 2+ years in Python and hands-on GPU management, you will join a collaborative team in NYC, contributing to a high-performance, low-latency trading platform.

Qualifications

• BS or MS in computer science or a related field.
• 2+ years of relevant experience, including Python development and hands-on GPU management.
• An 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 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 OS and kernel.
• Work with engineering teams 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

Monitoring

Configuration management

Education

BS or MS in computer science

Job description

Tower Research Capital is seeking an engineer to own the tooling behind day-to-day GPU operations, including management, monitoring, metrics collection, maintenance, and network configuration. You will troubleshoot issues spanning application to kernel and help optimize GPU workloads across the fleet.

With 2+ years in Python and hands-on GPU management, you will join a collaborative team in NYC, contributing to a high-performance, low-latency trading platform.