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Full Time Gpu Programming Jobs (NOW HIRING)

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Vision AI Engineer

Aurora, CO · On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Full Time Gpu Programming information

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How much do full time gpu programming jobs pay per year?

As of May 29, 2026, the average yearly pay for full time 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 are the key skills and qualifications needed to thrive as a Full Time GPU Programmer, and why are they important?

To thrive as a Full Time GPU Programmer, you need strong programming skills in languages like C++ and Python, a deep understanding of parallel computing, and often a degree in computer science or a related field. Familiarity with GPU programming frameworks such as CUDA or OpenCL, and experience with performance profiling tools, are typically required. Problem-solving ability, attention to detail, and effective teamwork distinguish top performers in this role. These skills ensure efficient development of high-performance, scalable applications that leverage GPU capabilities for computational tasks.

What are some typical challenges faced by professionals in full-time GPU programming roles, and how can they be addressed?

Full-time GPU programmers often encounter challenges such as optimizing code for parallel execution, managing memory efficiently, and debugging complex kernels. These tasks require a deep understanding of GPU architecture and tools like CUDA or OpenCL. Collaborating closely with other developers, data scientists, and hardware engineers is essential to identify performance bottlenecks and ensure that solutions meet project requirements. Staying updated with the latest advancements and regularly profiling code can help address these challenges effectively.

What is a Full Time GPU Programmer?

A Full Time GPU Programmer is a software developer who specializes in writing and optimizing code to run on Graphics Processing Units (GPUs). These professionals use languages like CUDA or OpenCL to leverage the parallel processing capabilities of GPUs for tasks such as scientific computing, machine learning, graphics rendering, and more. They work on designing, implementing, and debugging GPU-accelerated algorithms to improve performance and efficiency in various applications. Full Time GPU Programmers often collaborate with other engineers and researchers to integrate GPU solutions into larger software systems.

What is the difference between Full Time Gpu Programming vs Gpu Software Engineer?

AspectFull Time Gpu ProgrammingGpu Software Engineer
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related field; experience with GPU programming languagesSimilar credentials; often requires experience with CUDA, OpenCL, or Vulkan
Work EnvironmentPrimarily focused on developing and optimizing GPU code, often in research or high-performance computing settingsDesigning, developing, and maintaining GPU-based software applications in industry or research
Employer & Industry UsageTech companies, research labs, gaming, and scientific computingTech firms, gaming, AI, and scientific industries

Both roles involve GPU programming skills, but Full Time Gpu Programming emphasizes writing and optimizing GPU code, while Gpu Software Engineer focuses on developing complete GPU-accelerated software solutions. The roles often overlap but differ in scope and application.

More about Full Time Gpu Programming jobs
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 Full Time Gpu Programming jobs? States with the most job openings for Full Time Gpu Programming jobs include:
What job categories do people searching Full Time Gpu Programming jobs look for? The top searched job categories for Full Time Gpu Programming jobs are:
Staff Engineer, GPU Architect

Staff Engineer, GPU Architect

Samsung Electronics Co., Ltd.

San Jose, CA • On-site

$151K - $251.80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Samsung Electronics rating

7.0

Company rating: 7.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

103rd of 137 rated electronics manufacturers


Job description

Position Summary
Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy - the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us!
Role and Responsibilities
As a Staff GPU Architect, you will help shape the future of advanced GPU architecture for Samsung's Exynos chipset.
In this mid-to-senior individual contributor role, you will redefine what's possible in graphics by contributing to architectural strategy and hands-on development of next-generation GPU designs. You bring expertise in GPU pipelines, hardware design, and computer architecture, with a curiosity to deliver high-performance, power-efficient, and scalable GPUs.
  • You are passionate about defining, developing, and implementing new SoC architectures and features for premium mobile and related product platforms.
  • You enjoy learning about end-to-end design and optimization of GPU architectures, balancing performance, power, and area (PPA), while anticipating emerging applications such as ray tracing, AI, and AR/VR.
  • You ensure design excellence by contributing to technical roadmaps, supporting product planning, and help evaluating long-term GPU architecture strategy.
  • You proactively seek cross-functional collaboration with global teams, clearly communicate architecture proposals to diverse audiences, and exercising data-driven decision making to ensure seamless integration of the GPU into the overall system.
  • You take initiatives on moderate-to-complex projects and help advance best practices, methodologies by staying ahead of industry trends and emerging technologies.

Skills and Qualifications
  • 6+ years of experience with a Bachelor's Degree in Computer Science/Engineering, or 4+ years of experience with a Master's Degree, or 2+ years of experience with a Ph.D.
  • 6+ years of experience in GPU architecture, design, or development, with a focus on high-performance, low-power designs.
  • Knowledge of graphics and GPU pipelines, hardware design, and computer architecture.
  • Knowledge of emerging technologies, such as ray tracing, AI, and machine learning.
  • Strong analytical and problem-solving skills, with the ability to analyze complex systems and optimize performance, power, and area.
  • Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.

Preferred qualifications:
  • Experience with CPU, NPU, or other complex processing units, such as ARM, x86, or RISC-V.
  • Experience in performance modeling, analysis and optimization.

Our Team
The GPU Architect team delivers whole system architecture-level design for Samsung's current and next-generation mobile GPUs. Our work spans a wide range of disciplines-from early-stage architectural exploration and research in graphics and machine learning, to shaping the GPU innovation roadmap, defining new features, building models, and delivering microarchitecture design and programming. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphics for Samsung Galaxy smartphones.
Joining our team means collaborating with talented engineers from diverse technical backgrounds across a global organization. Here you'll contribute to the roadmap for next-generation technologies, broaden your expertise, and solve impactful challenges in a supportive environment that values collaboration, continuous learning, and growth.
Total Rewards
At Samsung - SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $151,000 and $251,800. Your actual base pay will depend on variables that may include your education skills, qualifications, experience, and work location.
Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.
Additionally, this role might be eligible to participate in long term incentive plan and relocation.
This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).
U.S. Export Control
This position requires the ability to access information subject to U.S. export control restrictions. Applicants must have the ability to access export-controlled information or be eligible to receive a government authorization to access export-controlled information.
Trade Secrets
By submitting an application, you [applicant] agree[s] not to disclose to Samsung, or induce Samsung to use, any confidential or proprietary information (including trade secrets) belonging to any current or previous employer or other person or entity.
#SARC
#ACL
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* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

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