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Gpu Programmer Jobs in Arizona (NOW HIRING)

GPU Programmer - 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 ...

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 ...

CUDA Developer - Remote

Phoenix, AZ · 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 ...

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 ...

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 ...

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Sr. Machine Learning Engineer Salary Range: $130k to $150k Our client is seeking a Sr. Machine ... Responsibilities include eliminating hardware bottlenecks through CUDA kernel tuning and GPU ...

... GPU programming, and performance optimization. Contributes to the design, development, and ... Graphics experience (GPU / CUDA) Job Type: Student / Intern Shift: Shift 1 (United States of ...

... GPU programming, and performance optimization. Contributes to the design, development, and ... Graphics experience (GPU / CUDA) Job Type: Student / Intern Shift: Shift 1 (United States of ...

Openshift and Python Developer

Chandler, AZ · On-site

$49.50 - $68.25/hr

Job Title : Openshift and Python Developer Job Location : Chandler, AZ (ONSITE) Job Type ... Drive GPU infrastructure enablement on OpenShift for Al/ML and GenAl use cases. o Build and ...

Data Center Technician

Phoenix, AZ · On-site

$30 - $36/hr

About Introl Introl stands apart as a leader in GPU infrastructure deployments, specializing in ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

Data Center Technician

Phoenix, AZ · On-site

$30 - $36/hr

About Introl Introl stands apart as a leader in GPU infrastructure deployments, specializing in ... Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ...

Senior Software Engineer

Tempe, AZ · On-site

$117K - $154K/yr

Collaborate with AI, vision, and embedded teams to integrate and optimize GPU-accelerated processing pipelines. * Conduct code reviews and promote engineering best practices across the team. * Lead ...

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

Debug and optimize training runs - Profile training jobs, resolve bottlenecks, improve GPU ... Research-engineering balance: Ability to produce production-quality implementations of novel ...

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Gpu Programmer information

See Arizona salary details

$11

$36

$64

How much do gpu programmer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for gpu programmer in Arizona is $36.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.99 and $47.93 per hour, depending on experience, location, and employer.

What does a GPU programmer do?

A GPU Programmer specializes in writing and optimizing code that runs on Graphics Processing Units (GPUs). They use parallel computing techniques and languages like CUDA or OpenCL to accelerate tasks such as graphics rendering, scientific simulations, and machine learning. Their work involves optimizing performance, managing memory efficiently, and ensuring compatibility across different hardware architectures.

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

To thrive as a GPU Programmer, you need a solid background in computer science, experience with parallel computing concepts, and proficiency in GPU programming languages like CUDA or OpenCL. Familiarity with development tools such as NVIDIA Nsight, profiling utilities, and version control systems is typically required, while relevant certifications in GPU computing can be beneficial. Strong problem-solving ability, collaboration skills, and attention to detail help differentiate top performers in this field. These skills are essential for optimizing code performance, successfully working in dynamic teams, and meeting the high computational demands of modern applications.

What are popular job titles related to Gpu Programmer jobs in Arizona?

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

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

The top searched job categories for Gpu Programmer jobs in Arizona are:

Infographic showing various Gpu Programmer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $76,633 per year, or $36.8 per hour.

GPU Programmer - Remote

Phoenix, AZ • Remote

$60 - $85/hr

Full-time

Posted 9 days ago


Job description

GPU Programmer - 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