ZipRecruiter

Log In

1

Gpu Jobs in Virginia (NOW HIRING)

Via Logic LLC

GPU Software Engineer

Arlington, VA · On-site

$107.90 - $195.05/hr

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

Leidos

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

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

Leidos

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

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

Leidos

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

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

The Josef Group

AI Infrastructure Engineer

Chantilly, VA · On-site

$110K - $144K/yr

Optimize GPU utilization, memory management, quantization, batching, and capacity planning to balance performance and cost. * Develop and maintain CI/CD pipelines, observability, monitoring, and ...

Deloitte

HPC AI Solution Architect (S2S)

Richmond, VA · On-site

Creatively defining reference architectures for on-premises, cloud, and hybrid GPU platforms across compute, network, storage, security, software and operations * Driving architecture trade-offs and ...

New

Deloitte

HPC AI Solution Architect (S2S)

Mclean, VA · On-site

Creatively defining reference architectures for on-premises, cloud, and hybrid GPU platforms across compute, network, storage, security, software and operations * Driving architecture trade-offs and ...

New

next page

Showing results 1-20

All JobsGpu JobsGpu Jobs in Virginia

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.

CUDE /GPU DSP Engineer

Digital Global Systems Inc

Mclean, VA • On-site

$100 - $130/hr

Other

Posted 5 days ago

Job description

Contract (3-6 months, P2 Priority – Aerial Partnership)

Job Description

Type: Contractor (3–6 months, P2 Priority – Aerial partnership)

The CUDA / GPU DSP Engineer develops high-performance GPU kernels for real-time digital signal processing in the CLEARSITE™ system. The role focuses on telecom physical layer operations (PSS/SSS detection, PDSCH decoding) on NVIDIA Jetson AGX Orin. This is GPU optimization for signal processing, not ML model work.

Key Responsibilities

  • Develop CUDA kernels for PSS/SSS detection and PDSCH decoding
  • Integrate with NVIDIA cuRAN libraries and optimize GPU-accelerated pipelines
  • Migrate x86 DSP pipelines to ARM + CUDA co-processing
  • Implement FFT, matched filtering, and channel estimation routines
  • Benchmark and validate kernel performance against latency and throughput targets
  • Document kernels, optimization decisions, and integration points

Required Qualifications

  • 3+ years writing production CUDA kernels
  • Telecom physical layer experience (LTE / 5G NR)
  • C/C++ and CUDA C proficiency
  • GPU memory management, occupancy, and warp-level programming

Preferred Qualifications

  • NVIDIA Jetson platform (JetPack SDK, ARM+GPU co-optimization)
  • 5G NR standards familiarity (3GPP 38.211, 38.212)
  • cuFFT, cuBLAS, and GPU signal processing primitives
  • PPS/GPS synchronized timing
Resume Submission

Name (Required)

First Last

Email (Required)

Phone

Briefly describe your background and interest in DGS (Required) 0 of 500 max characters

Are you legally authorized to work lawfully in the U.S.? (Required)

Will you now or in the future require sponsorship for employment visa status? (Required)

Location (Required)

Voluntary Self-Identification

Digital Global Systems is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. We are committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation during the application or interview process, please contact DGS.

Disability Status – whether you have a disability (Required)

Veteran Status – whether you are a protected veteran (Required)

Are you interested in working with DGS but don’t see an open job that fits you?

Reach out and tell us a little bit about yourself. We’re always happy to meet others who are passionate about building next-gen wireless solutions.

#J-18808-Ljbffr

Apply