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Gpu Programming Jobs in Philadelphia, PA (NOW HIRING)

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 ...

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 ...

Posted today

Software Engineer III

Moorestown, NJ · On-site

$56.75 - $76.25/hr

... applications using modern object-oriented programming practices, Linux-based development ... GPU-accelerated processing where applicable. * Modern C++ (or comparable OOP) development of real ...

Software Engineer III

Moorestown, NJ · On-site

$56.75 - $76.25/hr

... programming practices • work closely with radar systems engineers, integration teams, and test personnel to implement high-performance radar software, including GPU-accelerated processing where ...

Software Engineer

Moorestown, NJ · On-site

$98K - $147K/yr

... GPU-accelerated processing where applicable. Salary Range: $98,000 - $147,000 General Description ... Experience with Object Oriented C++ programming * Experience writing, debugging, and testing real ...

... GPU-accelerated processing where applicable. * Bachelor's Degree in Computer Science or equivalent ... Experience with Object Oriented C++ programming * Experience writing, debugging, and testing real ...

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Gpu Programming information

See Philadelphia, PA salary details

$33.3K

$65.6K

$96.4K

How much do gpu programming jobs pay per year?

As of Aug 21, 2026, the average yearly pay for gpu programming in Philadelphia, PA is $65,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $80,700.00 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 Philadelphia, PA?

The most popular types of Gpu Programming jobs in Philadelphia, PA are:

Infographic showing various Gpu Programming job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $65,564 per year, or $31.5 per hour.

GPU Programming Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$60 - $85/hr

Full-time

Posted yesterday

New


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