Software Engineer, GPU Fleet

About the role

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization.

Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

Summary:

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.

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.

Qualifications:

- BS or MS in computer science or a related field.

- 2+ years of relevant experience, including Python development and hands-on GPU management.