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Full Time Gpu Programming Jobs (NOW HIRING)

STR

Lead Software Engineer

Boston, MA · On-site

$157K - $223K/yr

Experience with GPU programming and optimization (CUDA) * Strong proficiency in C/C++ for high ... Prior contributions to proposal development and technical writing Pay Information Full-Time Salary ...

STR

Lead Software Engineer

Dayton, OH · On-site

$157K - $223K/yr

Experience with GPU programming and optimization (CUDA) * Strong proficiency in C/C++ for high ... Prior contributions to proposal development and technical writing Pay Information Full-Time Salary ...

Waymo

Software Engineer, GPU

Mountain View, CA · On-site

$204K - $259K/yr

Expertise in C++ programming for GPU (CUDA or similar framework) * Bachelor degrees in EECS ... full-time position across US locations is listed below. Actual starting pay will be based on job ...

Rutgers University

Research Programmer

Piscataway, NJ · On-site

$120K - $130K/yr

... Status Full Time Posting Number 25FA0745 Posting Open Date 08/01/2025 Posting Close Date ... Experience with GPU programming and optimization for ML models, utilizing frameworks, like CUDA or ...

Booz Allen Hamilton

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 ...

Booz Allen Hamilton

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 ...

Booz Allen Hamilton

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 Sep 11, 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:

What other helpful pages are available for Full Time Gpu Programming?

Other pages related to Full Time Gpu Programming:

Full Time Gpu Programming jobs near you
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.

Lead Software Engineer

Boston, MA • On-site

STR
See more jobs at STRexternal

$157K - $223K/yr

Full-time

Posted 19 days ago

Key responsibilities

  • Design and implement real-time software components for RF sensor signal processing systems

  • Develop and optimize GPU-accelerated algorithms for signal processing pipelines using CUDA

  • Architect software components compliant with open architecture standards

Job description

About the Team:

The Sensors Division at STR focuses on technology development for advanced sensor systems, particularly in the areas of airborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing.  Within this role, we perform work on full system prototypes, experiment campaigns and technology component development.  Development roles within the Sensors Division include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, as well as real-time embedded processor implementation.

Within the Sensors Division, the Real-time Architectures, Integration and Demonstration (RAID) Group focuses on transition of algorithms from concept to real-time software, providing open architecture expertise, and facilitating integration of capabilities for experimentation, test, and deployment.

The Role:

The RAID Group is seeking a Lead Software Engineer with demonstrated expertise in GPU programming and optimization to design, develop, and implement real-time software for RF sensor systems compliant with open architecture standards.  You will work as part of focused teams to transition advanced signal processing algorithms from research prototypes into production-quality software for embedded and distributed computing platforms.  You will be responsible for architecting software components, implementing real-time processing pipelines, and optimizing performance for resource-constrained systems.

A successful candidate will have experience developing high-performance C/C++ software for sensor systems.  Strong understanding of real-time systems, multithreaded programming, and signal processing are essential.  Experience with open architecture frameworks and standards is highly desired.  Strong technical, interpersonal, and communication skills are important for working in collaborative, multi-disciplinary teams.

What you will do:

  • Design and implement real-time software components for RF sensor signal processing systems
  • Develop and optimize GPU-accelerated algorithms for signal processing pipelines using CUDA
  • Translate algorithm specifications (MATLAB, Python) into optimized C/C++ implementations
  • Architect software components compliant with open architecture standards
  • Integrate and optimize code for real-time performance on multi-core CPUs and GPUs with strict latency requirements
  • Develop unit tests, integration tests, and performance benchmarks; promote testing best practices
  • Document software designs, APIs, implementation details, and technical reports
  • Contribute to briefings and presentations for program reviews and customer meetings
  • Collaborate with algorithm developers, systems engineers, RF hardware engineers, and integration teams across programs
  • Contribute to proposal development efforts including technical approach
  • Perform peer reviews and suggest next steps for technical work
  • Support approximately 20% travel for integration events, customer meetings, and field demonstrations

Who you are:

  • Ability to obtain and retain a Secret Security Clearance, for which U.S Citizenship is needed by the U.S government
  • PhD + 2 years, MS + 5 years, or BS + 7 years in Computer Science, Computer Engineering, Electrical Engineering, or related field
  • Experience with GPU programming and optimization (CUDA)
  • Strong proficiency in C/C++ for high-performance, real-time applications
  • Experience with Linux and embedded systems development
  • Experience with real-time signal processing
  • Experience with multithreaded programming, thread safety, and synchronization
  • Experience with version control systems (Git) and collaborative development practices
  • Good technical writing and communication skills

Even Better:

  • Active Security Clearance at the Secret or Top Secret level (strongly preferred due to clearance processing time)
  • Proficiency in MATLAB and/or Python for algorithm prototyping
  • Experience with open architecture standards and frameworks
  • Understanding of RF signal processing concepts
  • Familiarity with containerization, CI/CD pipelines, and DevOps practices
  • Prior contributions to proposal development and technical writing

Pay Information
Full-Time Salary Range: $157,000 - $223,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.

STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, Carlsbad, CA, Atlanta, GA, and Denver, CO. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.

STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.


STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.