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Gpu Programmer Jobs in Boston, MA (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 ...

New

CUDA Developer - Remote

Boston, MA · 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 ...

Posted today

CUDA Developer - Remote

Boston, MA · 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 ...

Posted today

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 ...

New

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 ...

Posted today

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 ...

New

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 ...

Posted today

GPU Verification Engineer

Westford, MA · On-site

$141K/yr

We are now looking for a GPU Verification Engineer. NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world's leading GPUs. This position offers the opportunity to have real ...

GPU Verification Engineer

Westford, MA · On-site

$141K/yr

We are now looking for a GPU Verification Engineer. NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world's leading GPUs. This position offers the opportunity to have real ...

Senior GPU Architect

Westford, MA · On-site

$134K - $182K/yr

The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in ...

As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution.

As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution.

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Gpu Programmer information

See Boston, MA salary details

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$43

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How much do gpu programmer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for gpu programmer in Boston, MA is $43.07, according to ZipRecruiter salary data. Most workers in this role earn between $28.03 and $56.06 per hour, depending on experience, location, and employer.

What does a GPU programmer do?

A GPU Programmer specializes in writing and optimizing code that runs on Graphics Processing Units (GPUs). They use parallel computing techniques and languages like CUDA or OpenCL to accelerate tasks such as graphics rendering, scientific simulations, and machine learning. Their work involves optimizing performance, managing memory efficiently, and ensuring compatibility across different hardware architectures.

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

To thrive as a GPU Programmer, you need a solid background in computer science, experience with parallel computing concepts, and proficiency in GPU programming languages like CUDA or OpenCL. Familiarity with development tools such as NVIDIA Nsight, profiling utilities, and version control systems is typically required, while relevant certifications in GPU computing can be beneficial. Strong problem-solving ability, collaboration skills, and attention to detail help differentiate top performers in this field. These skills are essential for optimizing code performance, successfully working in dynamic teams, and meeting the high computational demands of modern applications.

What are popular job titles related to Gpu Programmer jobs in Boston, MA?

For Gpu Programmer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Gpu Programmer jobs in Boston, MA look for?

The top searched job categories for Gpu Programmer jobs in Boston, MA are:

Infographic showing various Gpu Programmer job openings in Boston, MA as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, 9% Contract, and 1% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $89,582 per year, or $43.1 per hour.

GPU Programming Software Engineer Expert - Remote

YO AI Labs

Boston, MA • Remote

$60 - $85/hr

Full-time

Posted 2 days ago

New


Job description

GPU Programmer / Software Engineer

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