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Cuda Developer Jobs in Washington (NOW HIRING)

YO AI Labs

CUDA Developer - Remote

Washington, DC · Remote

$60 - $100/hr

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 ...

YO AI Labs

CUDA Software Engineer - Remote

Washington, DC · Remote

$60 - $100/hr

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 ...

YO AI Labs

CUDA Engineering Expert - Remote

Washington, DC · Remote

$60 - $100/hr

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 ...

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

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL . * Profile and optimize ...

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 ...

Prosync

Software Engineer III (DevOps)

Annapolis Junction, MD · On-site

$58 - $79.50/hr

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

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 ...

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Cuda Developer information

See Washington salary details

$54.4K

$126.7K

$188K

How much do cuda developer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for cuda developer in Washington is $126,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a Cuda developer?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

What are some common challenges faced by Cuda developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What are the most commonly searched types of Cuda Developer jobs in Washington?

The most popular types of Cuda Developer jobs in Washington are:

What are popular job titles related to Cuda Developer jobs in Washington?

For Cuda Developer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Cuda Developer jobs in Washington look for?

The top searched job categories for Cuda Developer jobs in Washington are:

Cuda Developer jobs near you
Infographic showing various Cuda Developer job openings in Washington as of August 2026, with employment types broken down into 79% Full Time, 2% Part Time, 2% Temporary, and 17% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $126,675 per year, or $60.9 per hour.

CUDA Developer - Remote

YO AI Labs

Washington, DC • Remote

$60 - $100/hr

Full-time

Posted 4 days ago

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.