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Full Time Gpu Programming Jobs (NOW HIRING)

Astrion

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

Astrion

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

Topaz Labs

Software Engineer, AI Inference / HPC

Dallas, TX · On-site

$110K - $150K/yr

Experience with OpenCV, ffmpeg, GPU programming * Experience with the raw image camera pipeline and ... This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the ...

Topaz Labs

Software Engineer, AI Inference / HPC

Dallas, TX · On-site

$110K - $150K/yr

Experience with OpenCV, ffmpeg, GPU programming * Experience with the raw image camera pipeline and ... This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the ...

Topaz Labs

Software Engineer, AI Inference / HPC

Dallas, TX · On-site

$110K - $150K/yr

Experience with OpenCV, ffmpeg, GPU programming * Experience with the raw image camera pipeline and ... This is a full-time onsite role in Dallas, TX, and we will ask you to relocate if you're not in the ...

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Full Time Gpu Programming information

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$33K

$65K

$95.5K

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

As of Jul 10, 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 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 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 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 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.
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:
Full Time Gpu Programming jobs near you
Infographic showing various Full Time Gpu Programming job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $64,974 per year, or $31.2 per hour.

GPU Server Test Software Engineer

WISTRON INFOCOMM USA CORPORATION

Fort Worth, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

GPU Server Test Software Engineer

Reports to: Manager - Testing Tech. Dev. Department

Location: WUS Wistron - 15200 Heritage Pkwy, Fort Worth, TX 76177
Employment Type: Full-Time

Summary

We are seeking a GPU Server Test Software Engineer to join our team at Wistron in Fort Worth. This role focuses on GPU server testing diagnostic integration, test automation development, and execute comprehensive test plan and test cases to ensure product quality.

Key Responsibilities
  1. Test Planning & Execution: Plan and execute test plans and test cases.
  2. Test Automation: Develop and maintain automated test scripts to improve testing efficiency and coverage.
  3. Program Deployment: Deploy and manage test software on the manufacturing/production line.
  4. Custom Tool Development: Design and create specialized test tools, including GPU/PCIe diagnostic utilities.
  5. Troubleshooting & Failure Analysis: Investigate, diagnose, and resolve diagnostic (DIAG) test failures by identifying root causes and implementing solutions.
Qualifications
  • Experience working with servers, data centers, or test system equipment for OEMs or manufacturers.
Education & Experience
  • Education: Bachelor's Degree (or above) in Computer Science, Electrical Engineering, or a related discipline.
  • Experience: 1+ years of relevant professional experience.
Required Technical Skills
  • Technical Skills Include Programming Languages/Tools: Proficiency in Python, Bash Shell Scripting, Git, and Jenkins.
  • Operating Systems: Proficient in Linux environments.
  • Hardware/Networking: Fundamental knowledge of server/network architecture and skill in remote troubleshooting.
Key Performance Indicators (KPIs)
  • Integration Accuracy: 100% compliance with customer requirements and internal standards.
  • Project Timeliness: Deliver integrated test programs within agreed timelines.
  • Error Rate: Maintainless than 2% error rate in integrated test programs.
  • Customer Satisfaction: Positive feedback on integration quality and responsiveness.
  • Cross-Team Collaboration: Active participation in more less than 90% of scheduled project meetings.
Benefits
  • Competitive salary and performance-based bonuses
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match
  • Paid time off and holidays
  • Professional development and training opportunities
  • Employee wellness programs
Working Conditions
  • Standard office environment with occasional lab work
  • May require handling of server components and test equipment
  • Flexible schedule with occasional overtime during critical project phases
  • Collaborative team setting with cross-functional interaction
Equal Employment Opportunity (EEO)

Wistron InfoComm is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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