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Gpu Jobs in Virginia (NOW HIRING)

Leidos

Senior Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

Broad understanding of GPU-enabled systems architecture and engineering, including GPU integration, virtualization, Multi-Instance GPU (MIG), and associated software stacks.Experience with creating ...

Leidos

Senior Computer Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

Broad understanding of GPU-enabled systems architecture and engineering, including GPU integration, virtualization, Multi-Instance GPU (MIG), and associated software stacks. * Experience with ...

Introl

Data Center Deployment Foreman I

Dulles, VA · On-site

$98K - $118K/yr

Who we are At Introl, we specialize in large-scale GPU cluster deployments, managing up to 100,000 of the most advanced GPUs available. Our experienced team works with leading-edge technology ...

Leidos

Senior Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

Broad understanding of GPU-enabled systems architecture and engineering, including GPU integration, virtualization, Multi-Instance GPU (MIG), and associated software stacks. * Experience with ...

Introl

Data Center Deployment Lead I

Dulles, VA · On-site

$80K - $87K/yr

Who we are At Introl, we specialize in large-scale GPU cluster deployments, managing up to 100,000 of the most advanced GPUs available. Our experienced team works with leading-edge technology ...

Everseen

Software Engineer

Herndon, VA · On-site

Rust, C/C++, CUDA (for GPU-accelerated computing) * AI/ML & Computer Vision: PyTorch, OpenCV, TensorRT, ONNX * Tools & Infrastructure: Linux, Docker, Kubernetes, Git, and CI/CD pipelines * Data ...

AgileEngine, LLC.

MLOps Engineer ID72409

Richmond, VA · On-site

$120 - $180/hr

You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost-effective ...

AgileEngine

MLOps Engineer ID72409

Blacksburg, VA · On-site

You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost-effective ...

AgileEngine, LLC.

MLOps Engineer ID72409

Blacksburg, VA · On-site

$130 - $170/hr

You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost-effective ...

AgileEngine

MLOps Engineer ID72409

Richmond, VA · On-site

You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost-effective ...

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Gpu information

What is a GPU?

A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images and graphics for display. While originally developed for rendering graphics in video games and visual applications, GPUs are now widely used for parallel processing tasks in areas such as artificial intelligence, data science, and scientific computing. Their architecture allows them to handle thousands of operations simultaneously, making them much faster than traditional CPUs for certain workloads.

What is a GPU engineer?

A GPU job refers to a computing task that utilizes a Graphics Processing Unit (GPU) for acceleration. GPUs are specialized processors designed for parallel processing, making them ideal for tasks like machine learning, scientific simulations, and rendering. Many software applications offload intensive computations to GPUs to improve performance and efficiency. Jobs related to GPUs can involve programming, optimization, and hardware configuration in fields like AI, gaming, and data analysis.

What are the key skills and qualifications needed to thrive as a GPU engineer?

To thrive as a GPU Engineer, you need a solid background in computer engineering, mathematics, and programming languages such as C++ or CUDA, often supported by a relevant degree. Familiarity with GPU architectures, parallel computing frameworks, and tools like OpenCL or Vulkan is typically required. Analytical thinking, problem-solving, and teamwork are essential soft skills for innovating and debugging complex systems. These abilities are crucial for optimizing performance, ensuring compatibility, and driving advancements in graphics and computational workloads.

What are some common challenges faced by GPU engineers when optimizing performance for various applications?

GPU engineers often encounter challenges such as balancing high computational throughput with power efficiency, ensuring compatibility across different hardware architectures, and optimizing code for parallel processing. They must also troubleshoot bottlenecks in memory bandwidth and latency that can impact performance. Collaboration with software developers and hardware architects is crucial to identify and resolve these issues, and staying updated with the latest advances in GPU technologies is essential for continued success.

What is the difference between Gpu vs Data Scientist?

AspectGpuData Scientist
Required CredentialsKnowledge of parallel computing, programming skills (CUDA, OpenCL)Degree in Computer Science, Statistics, or related fields; programming skills
Work EnvironmentHardware-focused, technical, often in R&D or engineering teamsData analysis, modeling, research in various industries
Industry UsageTech, gaming, AI, machine learningFinance, healthcare, tech, marketing

Gpu specialists focus on hardware and parallel processing for computing tasks, while data scientists analyze data to extract insights. Both roles require technical skills, but Gpu roles are more hardware-oriented, whereas data scientists focus on data analysis and modeling.

How to get into the graphics processing unit industry?

To enter the GPU industry, candidates typically need a strong background in computer engineering, electrical engineering, or computer science, with skills in programming languages like C++ and knowledge of graphics APIs such as DirectX or Vulkan. Relevant experience can be gained through internships, projects, or certifications in hardware design, GPU architecture, or related fields. Staying updated on industry developments and obtaining certifications like NVIDIA's or AMD's developer programs can also enhance job prospects.

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

The most popular types of Gpu jobs in Virginia are:

What are popular job titles related to Gpu jobs in Virginia?

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

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

The top searched job categories for Gpu jobs in Virginia are:

Gpu jobs near you
Infographic showing various Gpu job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

HPC Infrastructure & Cluster Engineer

General Dynamics Information Technology

Springfield, VA • On-site

$119K - $162K/yr

Full-time

Medical, Retirement, PTO

Posted 5 days ago

General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

89th of 226 rated it services

Job description

Share
REQ#: RQ227534Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to serve as a critical component of our nations safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

Position Summary

We are seeking an Infrastructure & Cluster Engineer to manage the administration, health, and performance of the foundational compute environment under the User Facing and Data Center Services (UDS) contract at GDIT. In this role, you will be responsible for the end-to-end administration of a dedicated customer compute cluster. Your primary mission is to ensure a highly available, secure, and optimized hardware foundation. By maintaining a robust infrastructure, you will directly contribute to the critical technology integration and performance engineering efforts, ensuring a highly reliable platform for integrating and executing complex customer workloads.

Key Responsibilities:

  • Cluster Administration: Manage the day-to-day operations of the customer compute cluster, including Linux operating system administration, hardware monitoring, patching, and system upgrades.
  • Resource and Job Management: Configure, maintain, and optimize workload management and orchestration platforms, utilizing the Run:AI job scheduler to ensure efficient distribution of intensive AI/ML workloads across the cluster.
  • Infrastructure Optimization: Tune cluster performance at the hardware, operating system, and network levels to maximize compute efficiency and data throughput for customer workloads.
  • Storage and Network Management: Administer storage solutions and high-speed networking fabrics. Support the transition to and ongoing management of an InfiniBand GPU-to-GPU network infrastructure to minimize latency for distributed operations.
  • Environment Configuration: Partner with technology integration teams to provision specific environments, dependencies, and container platforms, specifically leveraging Red Hat OpenShift, required for seamless customer model deployment.
  • Security and Compliance: Ensure all infrastructure components remain compliant with federal security standards, implementing strict access controls and maintaining system accreditations.

Basic Qualifications:

  • Clearance: Active TS/SCI with the ability to obtain CI Poly.
  • Experience: 5+ years of experience in Linux systems administration and infrastructure management with a specific focus on high-performance computing environments.
  • Technical Skills:
    • Expertise in managing bare-metal servers, enterprise storage arrays, and advanced network configurations (Experience with InfiniBand).
    • Strong proficiency with workload managers, job schedulers, and AI orchestration tools (e.g., Run:AI, SLURM).
    • Hands-on experience with enterprise container orchestration platforms, specifically OpenShift or Kubernetes.
    • Experience writing automation and configuration scripts (e.g., Bash, Python) to streamline cluster maintenance.
  • Troubleshooting Focus: Proven ability to diagnose and resolve complex hardware, network, and OS-level issues.

Preferred Qualifications:

  • Familiarity with parallel file systems and high-throughput storage architectures.
  • Prior experience engineering or managing high-speed GPU-to-GPU communication topologies.

Location: Springfield, VA

US Citizenship Required

GDIT IS YOUR PLACE:
401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays

#RoverGSS

Work Requirements
Years of Experience

5 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification
Travel Required

None

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $119,850 - $162,150. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

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 virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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About General Dynamics Information Technology

Sourced by ZipRecruiter

GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

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