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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

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 ...

Software Engineer

Santa Clara, CA · On-site

$149K - $184K/yr

Santa Clara, CA Job Type: Full Time Rate of Pay: The salary range for this position in Santa Clara ... Position requires experience in the following: 1. Programming languages, including C/C++. 2. GPU ...

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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 Jun 19, 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 engineers make $500,000?

Senior engineers in specialized fields such as GPU programming, software engineering, or machine learning can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries like tech or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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.

Are full stack devs still in demand?

Full stack developers remain in high demand due to their versatility in handling both front-end and back-end development, especially in tech companies and startups. Skills in frameworks like React, Node.js, and cloud platforms enhance employability, and continuous learning is important to stay competitive.

What is the salary of CUDA programmer?

The salary of a CUDA programmer varies based on experience, location, and industry, but typically ranges from $80,000 to $130,000 annually for full-time roles. Skilled programmers with expertise in GPU parallel computing and CUDA tools are in high demand, often commanding higher salaries.

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.

Will AI replace coders?

Full Time GPU Programmers develop software that leverages graphics processing units, often requiring specialized coding skills. While AI tools can assist with coding tasks, human expertise remains essential for complex problem-solving, system design, and optimization, making complete replacement unlikely by 2040.

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:
Infographic showing various Full Time Gpu Programming job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 9% Full Time, 83% Part Time, 1% Temporary, 4% Contract, and 1% Nights. 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.
Computer Vision AI Engineer

Computer Vision AI Engineer

Booz Allen Hamilton

El Segundo, CA

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Computer Vision AI Engineer

The Opportunity:

Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data.

You will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success.

In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time.

What You'll Work On:

  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rust.
  • Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust.

Join us. The world can't wait.

You Have:

  • 7+ years of experience in sensor fusion and target tracking
  • Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM
  • Experience in artificial intelligence, data science, machine learning engineering, or software engineering
  • Experience with developing technical solutions using Python, C++, or Rust
  • Secret clearance
  • Bachelor's degree in Science, Technology, Engineering, or Mathematics

Nice If You Have:

  • Experience with embedded systems programming in C, C++, or Rust
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience with developing in-space solutions
  • Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
  • TS/SCI clearance
  • Master's degree in Computer Science, Artificial Intelligence, or a related field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance isrequired.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914