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Full Time Gpu Programming Jobs (NOW HIRING)

Software Engineer - Midlevel

Dahlgren, VA · On-site

$120K - $140K/yr

Dahlgren, Virginia Status: Full Time Clearance: Secret Salary: $120,000-$140,000 SEG is an industry ... Knowledge or experience in multi-threading (POSIX, OpenMP, MPI), SSE or GPU programming

Software Engineer - Midlevel

Dahlgren, VA · On-site

$120K - $140K/yr

Dahlgren, Virginia Status: Full Time Clearance: Secret Salary: $120,000-$140,000 SEG is an industry ... Knowledge or experience in multi-threading (POSIX, OpenMP, MPI), SSE or GPU programming

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Full Time Gpu Programming information

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$95.5K

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

As of Aug 20, 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 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 are the key skills and qualifications needed to thrive as a full time GPU programmer?

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 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.

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:

Infographic showing various Full Time Gpu Programming job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% 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.

Senior Engineer, GPU Modeling Architect

Samsung Electronics

San Diego, CA • On-site

$124K - $208K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

127th of 159 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 Senior Engineer, GPU Modeling Architect, you will work on the design and development of high-performing functional models that shape next-generation Samsung GPUs.

In this mid-to-senior individual contributor role, you will contribute to defining functional modeling of various blocks of the GPU pipeline that drive architectural exploration and design decisions. You bring expertise in GPU architecture, functional modeling, and performance validation, with a curiosity for translating complex architectural intent into efficient, scalable simulation environments.

  • You are passionate about contributing to the design and development of cycle-approximate and functional models for key GPU pipeline blocks-capturing architectural and micro-architectural behaviors for design and verification.
  • You enjoy learning about building high-quality models to enable advanced GPU development. You architect, implement, and validate C++/SystemC-based GPU models, ensuring accuracy, scalability, and integration across hardware and software environments.
  • You ensure design excellence by working on model-based performance validation and correlation, identifying bottlenecks, and proposing architectural and micro-architectural optimizations to improve GPU performance, power efficiency, and functionality.
  • You proactively seek cross-functional collaboration with architects, RTL designers, verification engineers, and software teams to align modeling behavior with design intent, debug system-level interactions, and support early design bring-up.
  • 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

  • 2+ years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or a Master's degree.
  • 2+ years of experience in experience in software design and architecture.
  • Hands-on experience in C++ programming, including STL, in a Linux environment.
  • Understanding of GPU/CPU or computer architecture and micro-architecture concepts.
  • Experience using development tools such as revision control systems, debuggers, and make/cmake.
  • Familiarity in hardware modeling.
  • Experience with performance profiling and analysis.
  • RTL verification experience is preferred.
  • Strong analytical and problem-solving skills, with the ability to identify bottlenecks and proposing data-driven solutions.
  • Excellent communication and collaboration skills, with the ability to navigate ambiguity in a fast-paced, global team environment.

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 $124,000 and $208,400. Your actualbase pay will depend on variables that may includeyour educationskills, qualifications, experience, and worklocation.

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).

Trade Secrets

By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

U.S. Export Control

This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

#SARC

#ACL

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