> Markdown version of [/jobs/ext/4640151-software-engineer-gpu-fleet](https://www.wearedevelopers.com/jobs/ext/4640151-software-engineer-gpu-fleet). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer, GPU Fleet

- **Company:** TOWER RESEARCH CAPITAL, LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $200,000 - $300,000
- **Contract:** Permanent contract
- **Skills:** Unix, Configuration Management, Software Debugging, Linux, Monitoring of Systems, Python (Programming Language), Network Configuration and Change Management, Performance Tuning, Software Engineering, Graphics Processing Unit (GPU), Software Troubleshooting, Information Technology, Free and Open-Source Software
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25304_fb7b9eb464987ef9416ea3cb5c392df8

## About the Role

* 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.

## Description

Our GPU fleet is one of the fastest-growing and most critical parts of the firm's infrastructure, and this role is about the software that keeps it healthy, observable, and efficient.

In this role you will build and own the tooling behind day-to-day GPU operations: management, monitoring, metrics collection, maintenance, and network configuration. When something misbehaves anywhere between an application and the kernel, you will help track it down.

The work varies day to day by design. One day you might be shipping a new feature for our fleet automation, the next digging into a stubborn driver issue, the next mining job statistics to find where the fleet could be doing more with what it has., * 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.