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Gpu Programming Jobs in Maryland (NOW HIRING)

Quidient

SLAM Engineer

Columbia, MD · On-site

$175K - $230K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Direct experience with GPU programming (Metal shaders, CUDA kernels, or equivalent) is a strong advantage. * Develop and extend calibration pipelines covering camera intrinsics, extrinsics, IMU ...

Sunayu

Graphics Processing Unit (GPU) Engineer - TS/SCI

Bethesda, MD · On-site

$149K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency ...

Base-2 Solutions, LLC

GPU Systems Engineer 4

Bethesda, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior GPU Systems Engineer * Required Security Clearance: Top Secret/SCI * Location: Bethesda, MD * Work Type: On-Site * Shift: First * Referral Eligibility: Eligible * U.S. Citizenship Required?

Base-2 Solutions, LLC

GPU Systems Engineer 3

Bethesda, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

GPU Systems Engineer * Required Security Clearance: Top Secret/SCI * Location: Bethesda, MD * Work Type: On-Site * Shift: First * Referral Eligibility: Eligible * U.S. Citizenship Required? Yes ...

Xcelerate Solutions

Be Seen First

Senior GPU Platform Engineer (Linux/CUDA) - TS/SCI

Bethesda, MD · On-site

$134K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for ...

Leidos

Junior Software Engineer

Bowie, MD

$69K - $125K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

Leidos

Junior Software Engineer

Bowie, MD · On-site

$69K - $125K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

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Gpu Programming information

See Maryland salary details

$32K

$63.1K

$92.7K

How much do gpu programming jobs pay per year?

As of Aug 15, 2026, the average yearly pay for gpu programming in Maryland is $63,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $77,600.00 per year, depending on experience, location, and employer.

What is GPU programming?

A GPU Programming job involves writing and optimizing code to run on Graphics Processing Units (GPUs) for parallel computing tasks. This role is commonly found in fields like machine learning, scientific computing, gaming, and data analytics. GPU programmers use languages such as CUDA, OpenCL, or Vulkan to accelerate computations and improve performance. They work closely with software engineers and data scientists to optimize algorithms for high-performance applications.

What are the key skills and qualifications needed to thrive in GPU programming, and why are they important?

To excel in GPU Programming, you need a strong background in parallel computing concepts, mathematics, and proficiency in languages such as CUDA, OpenCL, or DirectX/OpenGL, often supported by a degree in computer science, engineering, or a related field. Familiarity with NVIDIA and AMD GPU development tools, performance profilers, and possibly certifications like NVIDIA's Deep Learning Institute courses are valuable. Teamwork, effective communication, and strong problem-solving abilities are essential soft skills in this field. These competencies enable efficient development, optimization, and integration of high-performance GPU code in real-world applications.

What types of projects or applications do GPU programmers commonly work on?

GPU Programmers are often involved in developing or optimizing software for high-performance applications such as machine learning, scientific simulations, real-time rendering in gaming and visualization, and video/image processing tools. Their daily work may include collaborating with software engineers, data scientists, and hardware teams to create efficient, scalable parallel algorithms that leverage GPU capabilities. The role frequently requires problem-solving to maximize computational efficiency and troubleshooting complex performance bottlenecks. By working across multidisciplinary teams, GPU Programmers help deliver robust solutions for data-intensive problems in areas like healthcare, finance, automotive technology, and entertainment.

What are the most commonly searched types of Gpu Programming jobs in Maryland?

The most popular types of Gpu Programming jobs in Maryland are:

What are popular job titles related to Gpu Programming jobs in Maryland?

For Gpu Programming jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Gpu Programming jobs in Maryland look for?

The top searched job categories for Gpu Programming jobs in Maryland are:

Gpu Programming jobs near you
Infographic showing various Gpu Programming job openings in Maryland as of August 2026, with employment types broken down into 4% Internship, 87% Full Time, and 9% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $63,060 per year, or $30.3 per hour.

Graphic Processing Unit (GPU) Engineer - TS/SCI

VMD Corp

Bethesda, MD • On-site

$149K - $184K/yr

Full-time

Re-posted 10 days ago

Job description

Description

Graphics Processing Unit (GPU) Engineer – TS/SCI   
Xcelerate Solutions is looking for a highly skilled Graphics Processing Unit (GPU) Engineer with a deep understanding of operating systems, hardware, and extensive knowledge of the GPU industry, particularly in the context of Linux-based systems. As a GPU Engineer, you will play a pivotal role in designing, developing, and optimizing GPUs for various applications, with a strong emphasis on seamless integration with operating systems and hardware. Your expertise will contribute to advancing GPU technology and its efficient utilization in diverse fields. 
  
Location:  
Bethesda, MD  
  
Security Clearance:   
TS/SCI and willingness to get a Poly.  
  
Primary Responsibilities   
  • GPU Architecture and Design: Collaborate with a multidisciplinary team to define, develop, and optimize GPU architectures, ensuring they meet stringent performance, power efficiency, and feature requirements. Leverage industry insights to drive design decisions. Ensure that GPU designs and integrations are not only optimized for Linux but are also adaptable to other operating systems. 
  • Operating System Integration: Work closely with operating system developers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, performance, and reliability in a Linux environment. Provide regular maintenance and updates to ensure continued compatibility. 
  • Hardware Expertise: Contribute to the design and development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 
  • CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms. Maintain and update software for optimal performance. 
  • Performance Analysis: Analyze GPU performance, identify bottlenecks, and develop strategies to enhance performance across various applications in Linux, addressing both hardware and software considerations. Regularly monitor and improve performance. 
  • GPU Tooling: Create and maintain debugging tools, profiling utilities, and performance analysis software tailored for Linux systems to facilitate efficient GPU development and troubleshooting. Keep tools up-to-date and functional. 
  • Power Efficiency: Work on power management techniques to optimize GPU power consumption, ensuring efficient operation on both mobile and desktop Linux platforms. Continuously assess and enhance power efficiency strategies. 
  • Testing and Validation: Design and execute tests to validate GPU performance and functionality on Linux, including stress testing, benchmarking, and debugging to ensure robust operation. Maintain and expand the testing suite. 
  • Documentation: Maintain comprehensive technical documentation, including architectural specifications, code documentation, and Linux-specific best practices for GPU development. Keep documentation up-to-date with changes and improvements. 
  • Industry Insight: Stay updated on the latest trends, innovations, and competitive landscapes within the GPU industry, contributing to research efforts and proposing Linux-specific approaches to GPU design and optimization. Share regular updates and insights with the team. 
Minimum Requirement: 
  • Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field. Additional years of experience may be considered in lieu of a degree. 
  • 10+ years of relevant systems engineering experience 
  • Proven experience in GPU architecture design, and GPU performance optimization. 
  • Expertise in operating system integration for Linux. 
  • Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. 
  • Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. 
  • Familiarity with GPU debugging tools and profiling software for Linux. 
  • Excellent problem-solving skills and the ability to collaborate within a team. 
  • Strong communication skills for conveying technical information in a Linux context. 
  • Proficiency with scripting languages such as Python or BASH.   
  • Proficiency with automation tools such Ansible, Puppet, Salt, Terraform, etc.  
  • Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). 
 Preferred Qualifications:   
  • Published research or contributions in the GPU industry, especially related to Linux.  
  • Experience with machine learning and neural network frameworks on GPUs in Linux. 
  • Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. 
  • Proficiency in programming languages such as GPU-specific languages. 
  • Experience with container technologies (Docker, Kubernetes) 
  • Experience with Prometheus/Grafana for monitoring 
  • Knowledge of distributed resource scheduling systems [Slurm (preferred), LSF, etc.] 
  • Familiarity with CUDA and managing GPU-accelerated computing systems 
  • Basic knowledge of deep learning frameworks and algorithms  

About Xcelerate Solutions:
Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is one of America's fastest-growing companies. Xcelerate’s culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal’s “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers! 

Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability.
Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. 

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