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Cuda Programmer Jobs in New York (NOW HIRING)

YO AI Labs

CUDA Developer - Remote

New York, NY · Remote

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

New

YO AI Labs

CUDA Software Engineer - Remote

New York, NY · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

New

YO AI Labs

CUDA Engineering Expert - Remote

New York, NY · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your ...

New

YO AI Labs

GPU Programmer - Remote

New York, NY · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

New

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

New

Rutgers University

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 ...

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Cuda Programmer information

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How much do cuda programmer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for cuda programmer in New York is $43.25, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $56.30 per hour, depending on experience, location, and employer.

What is a cuda programmer?

A CUDA Programmer develops high-performance parallel computing applications using NVIDIA's CUDA (Compute Unified Device Architecture) framework. They optimize algorithms to run efficiently on GPUs, accelerating tasks such as machine learning, scientific simulations, and real-time data processing. This role requires proficiency in C/C++, an understanding of GPU architectures, and experience with parallel computing concepts to maximize performance.

What are the key skills and qualifications needed to thrive as a cuda programmer?

To thrive as a Cuda Programmer, you need strong programming skills in C/C++ and parallel computing, with a solid understanding of GPU architectures and CUDA development. Familiarity with CUDA libraries, performance profiling tools, and platforms like NVIDIA Nsight or Visual Studio is often required, while certifications from NVIDIA can be advantageous. Problem-solving abilities, attention to detail, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can optimize complex algorithms, work efficiently on high-performance computing projects, and collaborate smoothly with multidisciplinary teams.

What are the most common challenges faced by cuda programmers in their daily work?

Cuda Programmers often encounter challenges related to optimizing code performance and efficiently managing memory on GPU architectures. Debugging and profiling can be complex, as issues may arise from both the code and hardware-specific elements, requiring close attention to parallelization and bottlenecks. Collaboration is key, as you’ll typically work closely with software engineers, data scientists, or researchers to integrate and optimize code for specialized workflows. Successfully navigating these challenges helps drive significant performance improvements and innovation in high-performance computing applications.

What are the most commonly searched types of Cuda Programmer jobs in New York?

The most popular types of Cuda Programmer jobs in New York are:

What are popular job titles related to Cuda Programmer jobs in New York?

For Cuda Programmer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Cuda Programmer jobs in New York look for?

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Cuda Programmer jobs near you
Infographic showing various Cuda Programmer job openings in New York as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $89,967 per year, or $43.3 per hour.

CUDA Developer - Remote

YO AI Labs

New York, NY • Remote

Full-time

Posted 3 days ago

New

Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. 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, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications

  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications

  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.