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Gpu Programming Jobs in New York (NOW HIRING)

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and ...

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 ...

GPU Performance Engineer

New York, NY · On-site

$165K - $300K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

You are a GPU programming expert. You write CUDA, you optimize kernels, you understand the memory hierarchy, you know why naive GPU code is slow and how to make it fast. You will ensure that when ...

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 ...

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 ...

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 ...

Required : • Strong understanding of GPU architecture and programming paradigms: Memory hierarchy (global, shared, registers, L1/L2 cache), Thread/block/grid organization, Synchronization ...

Software Engineer - GPU Kernels

New York, NY · On-site

$180K - $360K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Invent) REQUIREMENTS * Strong understanding of GPU architecture and programming paradigms: * Memory hierarchy (global, shared, registers, L1/L2 cache) * Thread/block/grid organization

Research Programmer

Piscataway, NJ · On-site

$120K - $130K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Experience with GPU programming and optimization for ML models, utilizing frameworks, like CUDA or OpenCL • Experience with applied computer vision, such as convolutional neural networks and vision ...

GPU Systems Engineer

New York, NY · On-site

$200K - $300K/yr

  • PTO

... latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing ... Design, deploy, and scale distributed GPU clusters, from hardware selection and network topology ...

GPU Systems Engineer

New York, NY · Hybrid

$200K - $300K/yr

  • PTO

... latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing ... Design, deploy, and scale distributed GPU clusters, from hardware selection and network topology ...

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Gpu Programming information

See New York salary details

$36.1K

$71.1K

$104.5K

How much do gpu programming jobs pay per year?

As of Aug 18, 2026, the average yearly pay for gpu programming in New York is $71,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $87,500.00 per year, depending on experience, location, and employer.

What is GPU programming?

A GPU Programming job involves writing and optimizing code to run on Graphics Processing Units (GPUs) for parallel computing tasks. This role is commonly found in fields like machine learning, scientific computing, gaming, and data analytics. GPU programmers use languages such as CUDA, OpenCL, or Vulkan to accelerate computations and improve performance. They work closely with software engineers and data scientists to optimize algorithms for high-performance applications.

What types of projects or applications do GPU programmers commonly work on?

GPU Programmers are often involved in developing or optimizing software for high-performance applications such as machine learning, scientific simulations, real-time rendering in gaming and visualization, and video/image processing tools. Their daily work may include collaborating with software engineers, data scientists, and hardware teams to create efficient, scalable parallel algorithms that leverage GPU capabilities. The role frequently requires problem-solving to maximize computational efficiency and troubleshooting complex performance bottlenecks. By working across multidisciplinary teams, GPU Programmers help deliver robust solutions for data-intensive problems in areas like healthcare, finance, automotive technology, and entertainment.

What are the key skills and qualifications needed to thrive in GPU programming, and why are they important?

To excel in GPU Programming, you need a strong background in parallel computing concepts, mathematics, and proficiency in languages such as CUDA, OpenCL, or DirectX/OpenGL, often supported by a degree in computer science, engineering, or a related field. Familiarity with NVIDIA and AMD GPU development tools, performance profilers, and possibly certifications like NVIDIA's Deep Learning Institute courses are valuable. Teamwork, effective communication, and strong problem-solving abilities are essential soft skills in this field. These competencies enable efficient development, optimization, and integration of high-performance GPU code in real-world applications.

What are the most commonly searched types of Gpu Programming jobs in New York?

The most popular types of Gpu Programming jobs in New York are:

Infographic showing various Gpu Programming job openings in New York as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $71,084 per year, or $34.2 per hour.

GPU Programming Expert - Remote

YO AI Labs

New York, NY • Remote

$60 - $85/hr

Full-time

Posted 5 days ago


Job description

GPU Programming Expert - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. 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 software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications
  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan