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Gpu Performance Engineer Jobs in New York (NOW HIRING)

Tower Research Capital

GPU Systems Engineer

New York, NY · On-site

$200K - $300K/yr

Tower has built its business on a high-performance platform and independent trading teams. We have ... Engineers thrive at Tower while developing electronic trading infrastructure at a world class level.

YO AI Labs

CUDA Software Engineer - Remote

New York, NY · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Engineering Expert - Remote

New York, NY · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

YO AI Labs

CUDA Developer - Remote

New York, NY · Remote

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

ACI Infotech

AI/ML Azure Engineer

Manhattan, NY · On-site

AI/ML Azure Engineer Duration : Full Time / Contact W2 Location: NYC, NY Mode: Hybrid JD below ... Knowledge of Python and experience profiling GPU performance and distributed training runs.

Baseten

Software Engineer - Model Performance

New York, NY · On-site

$180K - $360K/yr

Deep understanding of GPU architecture. * Bonus: * Proficiency in enhancing the performance of ... Deep understanding of software engineering principles and a proven track record of developing and ...

YO AI Labs

GPU Programmer - Remote

New York, NY · Remote

$60 - $85/hr

You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions. Key Responsibilities * Design, implement, and optimize GPU ...

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Gpu Performance Engineer information

What is a GPU performance engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What are some common challenges faced by a GPU performance engineer when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a GPU performance engineer, and why are they important?

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in New York?

For Gpu Performance Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Gpu Performance Engineer jobs in New York look for?

The top searched job categories for Gpu Performance Engineer jobs in New York are:

What cities in New York are hiring for Gpu Performance Engineer jobs?

Cities in New York with the most Gpu Performance Engineer job openings:

Gpu Performance Engineer jobs near you
Infographic showing various Gpu Performance Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

GPU Systems Engineer

Tower Research Capital

New York, NY • On-site

$200K - $300K/yr

Full-time

PTO

Posted 14 days ago

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:
Trading and research at the firm run around the clock and across the globe, and they run on infrastructure this team designs, builds, and operates.
As part of R&D, you will join the engineers responsible for the compute, storage, operating systems, and automation behind that work at serious scale: hundreds of petabytes of storage and large CPU and GPU clusters spanning thousands of nodes.
The role is broad by design. One week you might be shaping the architecture of a new AI cluster, the next profiling a training job that will not scale, the next writing automation that keeps the whole fleet healthy with minimal human intervention.
Responsibilities:
  • Design, deploy, and scale distributed GPU clusters, from hardware selection and network topology through to production operation.
  • Track down performance bottlenecks across the full stack: compute, storage, network, and the seams between them.
  • Partner with researchers to profile and benchmark GPU workloads, then turn the findings into measurable speedups.
  • Build the automation that lets a small team operate thousands of nodes: provisioning, monitoring, diagnostics, and self-healing.
  • Own infrastructure projects end to end, from scope and design through implementation and long-term support.
  • Qualify new generations of hardware and software, and work directly with vendors to root-cause complex issues.

Qualifications:
  • 5+ years engineering large-scale Linux systems in HPC, AI, or distributed-infrastructure environments.
  • Deep Linux fundamentals: installation, performance tuning, and debugging, down to the kernel when the problem calls for it.
  • Hands-on troubleshooting of distributed GPU workloads, with a strong mental model of GPU performance.
  • Working experience with GPUDirect RDMA. You understand how data moves between GPUs and the network, and what to check when it does not.
  • Solid Python for automation and tooling, plus CUDA or C/C++ experience. You can read, profile, and debug GPU code, not just operate the clusters it runs on.
  • Familiarity with configuration management tools such as Salt, Ansible, Puppet, or Chef.
  • Comfort diagnosing problems that cross hardware, OS, and network boundaries rather than stopping at one layer.
  • Clear communication. You will work daily with researchers, engineers, and vendors.

Nice to Have:
  • Experience with the rest of the NVIDIA stack, such as NCCL and NVLink.

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.

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