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Cuda Programming Jobs in Fort Washington, MD (NOW HIRING)

YO AI Labs

CUDA Developer - Remote

Washington, DC · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

New

YO AI Labs

CUDA Software Engineer - Remote

Washington, DC · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

New

YO AI Labs

CUDA Engineering Expert - Remote

Washington, DC · Remote

$60 - $100/hr

You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels. No prior AI experience is required. Key Responsibilities * Analyze ...

New

Xcelerate Solutions

Be Seen First

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

Bethesda, MD · On-site

$134K - $185K/yr

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 ...

YO AI Labs

GPU Programmer - Remote

Washington, DC · Remote

$60 - $85/hr

Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields. * Strong ...

New

VTG

High-Performance Computing Engineer

Mclean, VA · On-site

Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as ... Bachelor's Degree in Computer Science, Engineering or related field. * Experience with NVidia, Cray ...

VTG

High-Performance Computing Engineer

Mclean, VA · On-site

Overview iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean ... Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as ...

Prosync

Software Engineer III (DevOps)

Annapolis Junction, MD · On-site

$54 - $73.75/hr

Experience with GPU/CUDA development for performance-critical applications. * Familiarity with message queue implementation and communication protocols. * Knowledge of Linux system programming and ...

Prosync

Software Engineer III (DevOps)

Annapolis Junction, MD · On-site

$54 - $73.75/hr

Experience with GPU/CUDA development for performance-critical applications. * Familiarity with message queue implementation and communication protocols. * Knowledge of Linux system programming and ...

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All JobsCuda Programming JobsCuda Programming Jobs in Fort Washington, MD

Cuda Programming information

See Fort Washington, MD salary details

$28

$55

$84

How much do cuda programming jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for cuda programming in Fort Washington, MD is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $45.29 and $65.38 per hour, depending on experience, location, and employer.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

What cities near Fort Washington, MD are hiring for Cuda Programming jobs?

Cities near Fort Washington, MD with the most Cuda Programming job openings:

Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Fort Washington, MD as of August 2026, with employment types broken down into 1% Internship, 76% Full Time, 17% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,458 per year, or $56 per hour.

CUDA Developer - Remote

YO AI Labs

Washington, DC • Remote

$60 - $100/hr

Full-time

Posted 2 days ago

New

Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities

  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications

  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications

  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.