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Gpu Programming Jobs (NOW HIRING)

PlayStation Global

Sr Software Engineer

San Mateo, CA · On-site

$139K - $183K/yr

Experience with GPU programming (HLSL, Vulkan, CUDA) with proven skills in profiling, debugging, and optimizations across CPU and GPU. * AI/ML modeling and training experience * Embedded system ...

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How much do gpu programming jobs pay per year?

As of Jun 5, 2026, the average yearly pay for gpu programming in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a GPU Programming job?

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 are the key skills and qualifications needed to thrive in the Gpu Programming position, 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 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.

More about Gpu Programming jobs
What cities are hiring for Gpu Programming jobs? Cities with the most Gpu Programming job openings:
What are the most commonly searched types of Gpu Programming jobs? The most popular types of Gpu Programming jobs are:
What states have the most Gpu Programming jobs? States with the most job openings for Gpu Programming jobs include:
What job categories do people searching Gpu Programming jobs look for? The top searched job categories for Gpu Programming jobs are:
Gpu Programming jobs near you
Infographic showing various Gpu Programming job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $64,974 per year, or $31.2 per hour.
Sr Software Engineer

Sr Software Engineer

PlayStation Global

San Mateo, CA • On-site

$139K - $183K/yr

Other

Posted 29 days ago

Job description

Responsibilities:

  • Drive video codecs architecture design and development for PlayStation SDKs and cloud gaming platform.
  • Drive product-focused algorithm innovation for video codecs, aligning performance optimizations with product and user requirements
  • Own multiple encoder/decoder features with strong accountability, leveraging ML-based techniques for video quality enhancement
  • Partner with platform, hardware, and system software teams to investigate and resolve complex, high-priority issues across the codec pipeline.
  • Evaluate emerging codec and media technologies and recommend integration strategies for future platforms.

Required Qualifications:

  • Expertise with video compression standards (e.g. AV1, VVC, VP9, H.265, H.264)
  • Knowledge of multi-threaded programming and debugging using C and C++
  • Proficient with a wide range of development tools, including IDEs, Git/SVN, JIRA
  • Proven ability to deliver features from design to validation with clean, efficient code.
  • Master's degree or equivalent

Nice to have:

  • Experience with GPU programming (HLSL, Vulkan, CUDA) with proven skills in profiling, debugging, and optimizations across CPU and GPU.
  • AI/ML modeling and training experience
  • Embedded system experience with multimedia frameworks
  • Knowledge of SIMD optimizations on real time systems
  • Contributions to open-source projects in multimedia, systems programming, or performance engineering.

Responsibilities:

  • Drive video codecs architecture design and development for PlayStation SDKs and cloud gaming platform.
  • Own multiple encoder/decoder features with strong accountability for quality, performance, and maintainability.
  • Conduct system-level performance investigations and lead optimization strategies across CPU and GPU.
  • Partner with platform, hardware, and system software teams to investigate and resolve complex, high-priority issues across the codec pipeline.
  • Evaluate emerging codec and media technologies and recommend integration strategies for future platforms.

Required Qualifications:

  • Extensive experience with GPU programming (HLSL, Vulkan, CUDA) with proven skills in profiling, debugging, and optimizations across CPU and GPU.
  • Familiarity with video compression standards (e.g. H.264/H.265, VP9).
  • Knowledge of multi-threaded programming and debugging using C and C++
  • Proficient with a wide range of development tools, including IDEs, Git/SVN, JIRA
  • Proven ability to deliver features from design to validation with clean, efficient code.
  • Bachelor's degree or equivalent

Nice to have:

  • ML/AI modeling and training experience
  • Embedded system experience with multimedia frameworks
  • Knowledge of SIMD optimizations on real time systems
  • Contributions to open-source projects in multimedia, systems programming, or performance engineering.

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