ZipRecruiter

Log In

1

Gpu Programming Jobs in Virginia (NOW HIRING)

Accenture Federal Services

AI Engineer

Alexandria, VA · On-site

$243K/yr

Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...

Accenture Federal Services

AI Engineer

Alexandria, VA

$203K/yr

Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...

Booz Allen Hamilton

AI Integration Engineer

Mclean, VA · On-site

$105K - $141K/yr

AI Integration Engineer The Opportunity: We are seeking a highly motivatedAI Integration Engineerto ... Experience working withNVIDIA GPU technologies, including CUDA, NCCL, TensorRT, and DGX systems ...

GRVTY

DevSecOps - Platform Engineer

Reston, VA · On-site

$55 - $75.25/hr

Operate Linux based compute environments that support high throughput RF processing, including GPU ... Bachelor's degree in Computer Engineering, Electrical Engineering, Information Science, Computer ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

Develop scalable distributed training infrastructure using AWS services, including SageMaker and EC2 GPU instances. * Engineer data pipelines for curating, annotating, and transforming geospatial ...

teKnoluxion

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

Support GPU-enabled environments and CUDA-based workloads * Coordinate with engineering teams to improve cluster performance, stability, and scalability * Maintain documentation for configurations ...

teKnoluxion

HPC Systems Engineer

Charlottesville, VA

$150K - $200K/yr

Support GPU-enabled environments and CUDA-based workloads * Coordinate with engineering teams to improve cluster performance, stability, and scalability * Maintain documentation for configurations ...

teKnoluxion

HPC Systems Engineer

Charlottesville, VA

$150K - $200K/yr

Support GPU-enabled environments and CUDA-based workloads * Coordinate with engineering teams to improve cluster performance, stability, and scalability * Maintain documentation for configurations ...

Quevera LLC

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

Develop scalable distributed training infrastructure using AWS services, including SageMaker and EC2 GPU instances. * Engineer data pipelines for curating, annotating, and transforming geospatial ...

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air ... Requirements * 8+ years in Pre-Sales / Systems Engineering supporting DoD or Intelligence Community ...

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air ... Requirements: * 8+ years in Pre-Sales / Systems Engineering supporting DoD or Intelligence ...

VTG

High-Performance Computing Engineer

Mclean, VA · On-site

... management, GPU computing, and high-speed networking. Do you have what it takes? * Active Top ... Bachelor's Degree in Computer Science, Engineering or related field. * Experience with NVidia, Cray ...

next page

Showing results 1-20

All JobsGpu Programming JobsGpu Programming Jobs in Virginia

Gpu Programming information

See Virginia salary details

$32.7K

$64.4K

$94.7K

How much do gpu programming jobs pay per year?

As of Jul 17, 2026, the average yearly pay for gpu programming in Virginia is $64,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $79,300.00 per year, depending on experience, location, and employer.

What is a GPU Programming job?

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 the Gpu Programming position, 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 Virginia? The most popular types of Gpu Programming jobs in Virginia are:
What are popular job titles related to Gpu Programming jobs in Virginia? For Gpu Programming jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Gpu Programming jobs in Virginia look for? The top searched job categories for Gpu Programming jobs in Virginia are:
Gpu Programming jobs near you
Infographic showing various Gpu Programming job openings in Virginia as of July 2026, with employment types broken down into 87% Full Time, 1% Part Time, 1% Contract, and 11% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $64,417 per year, or $31 per hour.
AI Engineer

AI Engineer

Accenture Federal Services

Alexandria, VA • On-site

$243K/yr

Full-time

Re-posted 21 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services

Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!

The work

As an AI Engineer in this role, you will drive the operationalization of advanced AI and agentic AI systems within production mission environments. Your work will center on implementing a modern Hub-and-Spoke architecture designed to accelerate enterprise AI adoption, support mission-critical applications, and enable robust AI governance.

You will be responsible for integrating AI solutions with DevSecOps, data engineering, platform engineering, and cybersecurity practices, ensuring seamless delivery and continuous monitoring of scalable AI-powered software. Your contributions will directly impact the deployment of agentic AI systems, orchestration frameworks, and operational workflows tailored to complex, real-world missions.

Key responsibilities:

  • Design, develop, and operationalize AI and agentic AI systems for production mission environments
  • Implement and optimize AI/ML production engineering workflows, including LLMOps and MLOps best practices
  • Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks
  • Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible APIs
  • Develop and maintain Python-based AI applications, focusing on GPU inference optimization
  • Leverage tools and frameworks such as LangGraph, Semantic Kernel, vLLM, Ollama, and Ray for scalable AI solutions
  • Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability
  • Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering, and cybersecurity
  • Support enterprise AI governance, continuous monitoring, and observability for mission-critical applications
  • Contribute to the delivery of scalable, secure, and reliable AI software within a modern Hub-and-Spoke architecture
  • Participate in the integration of operational workflows to accelerate AI adoption and mission impact

Here's what you need:

  • Experience AI/ML production engineering, LLMOps or MLOps, and the deployment of Retrieval-Augmented Generation (RAG) architectures.
  • Familiarity with Kubernetes-based AI deployments, OpenAI-compatible APIs, and Python development
  • Experience in GPU inference optimization and working within NVIDIA GPU ecosystems

Nice to have:

  • Exposure to tools such as LangGraph, Semantic Kernel, vLLM, Ollama, Ray, and vector databases
  • Experience in integrating observability, cybersecurity, and scalable software delivery into AI platforms will help you succeed in supporting the continuous evolution and governance of enterprise AI systems

Eligibility requirements:

  • US Citizen
  • An active TS/SCI federal security clearance is required

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$116,900—$243,100 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company 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. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply