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Remote Gpu Programming Jobs (NOW HIRING)

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

GPU Programming Expert - Remote Job Type: Contractor Location: Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and ...

New

YO AI Labs

GPU Programmer - Remote

New York, NY · Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... You will apply your expertise in GPU programming, performance optimization, and C++ development to ...

New

YO AI Labs

CUDA Developer - Remote

New York, NY · Remote

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve ...

New

YO AI Labs

CUDA Software Engineer - Remote

New York, NY · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve ...

New

YO AI Labs

CUDA Engineering Expert - Remote

New York, NY · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve ...

New

Weekday AI

CUDA Engineering Expert

$80 - $100/hr

This opportunity is designed for freelancers with strong C++ skills, practical GPU programming ... This is a fully remote role that can be completed on your own schedule. * Projects can be extended ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Vultr

GPU Fabric Engineer

$125K - $135K/yr

... 500 stipend for remote office setup in first year + $400 each following year * Internet ... Collaborate with GPU Engineers to correlate fabric health with workload performance * Collaborate ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Vultr

GPU Performance and Benchmarking Engineer

$140K - $150K/yr

... 500 stipend for remote office setup in first year + $400 each following year * Internet ... Collaborate with GPU Engineers and Fabric Engineers to correlate performance with system-level ...

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How much do remote gpu programming jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote gpu programming in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote GPU programming roles, and how can they be addressed?

Remote GPU programming roles often involve unique challenges such as managing high-latency connections to remote servers, troubleshooting hardware-specific issues without physical access, and ensuring code compatibility across different GPU architectures. Effective communication with distributed teams is crucial, as is using robust remote debugging tools and version control systems. Staying proactive with documentation and regularly syncing with team members can help address these obstacles and support successful project delivery.

What is remote GPU programming?

Remote GPU programming refers to the practice of developing and running code that utilizes graphics processing units (GPUs) on computers or servers that are accessed over a network, rather than on your local machine. This approach allows developers to leverage powerful, often cloud-based, GPU resources to handle computationally intensive tasks like machine learning, scientific simulations, or rendering without needing specialized hardware themselves. It often involves using remote desktop tools, cloud platforms, or custom APIs to access and manage GPU resources remotely.

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

To thrive as a Remote GPU Programmer, you need in-depth knowledge of parallel computing, proficiency in programming languages like C/C++, and experience with GPU architectures, often backed by a degree in computer science or a related field. Familiarity with technical tools such as CUDA, OpenCL, and GPU profiling/debugging systems is commonly required, along with certifications in GPU programming or high-performance computing. Strong problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in distributed teams. These competencies are crucial for efficiently developing and optimizing GPU-accelerated applications while collaborating across remote environments.
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Remote Gpu Programming jobs near you
Infographic showing various Remote Gpu Programming job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $64,974 per year, or $31.2 per hour.

GPU Programming Expert - Remote

YO AI Labs

New York, NY • Remote

$60 - $85/hr

Full-time

Posted 2 days ago

New

Job description

GPU Programming Expert - Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities

  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications

  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • 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 understanding of GPU architecture and performan