Job description

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. 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. Nice to Have: Familiarity with continuous integration and deployment (CI/CD) tools and processes. Anticipated annual base salary range $200,000-$300,000, plus eligible for discretionary bonus. Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch, and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more) Volunteer opportunities and charitable giving Social events, happy hours, treats, and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer.

Requirements

Must-haves

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.
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.
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.
Savings plans and other financial wellness tools available in each region
Hybrid working opportunities
Free breakfast, lunch, and snacks daily
In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
Volunteer opportunities and charitable giving
Social events, happy hours, treats, and celebrations throughout the year

Nice-to-haves

Familiarity with continuous integration and deployment (CI/CD) tools and processes.
Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonci/cd

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Paid Time Off

Wellness