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Gpu Engineer 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 ...

New

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

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 ...

Posted today

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

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 ...

New

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 ...

Bachelor'''''s degree in Electrical Engineering, Mechanical Engineering, Materials Science, Physics ... Experience supporting AI Accelerators, GPU, CPU, or ASIC products. * Knowledge of SI/PI analysis ...

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 Engineer information

See Arizona salary details

$36.3K

$94.8K

$128.1K

How much do gpu engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for gpu engineer in Arizona is $94,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $108,600.00 per year, depending on experience, location, and employer.

What does a GPU engineer do?

A GPU Engineer designs, develops, and optimizes graphics processing units (GPUs) for applications like gaming, artificial intelligence, and high-performance computing. They work on hardware architecture, driver development, and parallel computing optimizations to maximize performance. GPU Engineers collaborate with software developers, hardware designers, and researchers to improve graphics rendering, machine learning acceleration, and computational efficiency.

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

To thrive as a GPU Engineer, you need strong knowledge of computer architecture, proficiency in C/C++, and experience with parallel programming models such as CUDA or OpenCL, along with a degree in computer science, electrical engineering, or a related field. Familiarity with debugging tools, driver development, performance profiling utilities, and hardware simulation platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish top candidates. These skills ensure that GPU Engineers can develop high-performance solutions, efficiently troubleshoot hardware and software issues, and collaborate successfully in multidisciplinary environments.

What are some common challenges faced by GPU engineers, and how are they addressed?

GPU Engineers often face challenges such as optimizing code for maximum parallel efficiency, debugging complex hardware-software interactions, and keeping pace with rapidly evolving GPU architectures. Addressing these issues typically requires a combination of deep architectural understanding, use of specialized profiling and debugging tools, and ongoing collaboration with hardware, software, and QA teams. Many companies provide ongoing training and encourage knowledge sharing within engineering teams to help individuals stay current and effectively tackle new technical hurdles. Overcoming these challenges not only sharpens technical expertise but also opens doors for career growth into architect, team lead, or principal engineer roles.

How much does a GPU engineer make?

The average salary for a GPU engineer varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in graphics processing, parallel computing, or CUDA programming can earn higher salaries. Compensation may also include bonuses, stock options, and benefits based on the employer and geographic region.

What are the most commonly searched types of Gpu Engineer jobs in Arizona?

The most popular types of Gpu Engineer jobs in Arizona are:

Infographic showing various Gpu Engineer job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $94,822 per year, or $45.6 per hour.

GPU Programming Software Engineer Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$60 - $85/hr

Full-time

Posted 2 days ago

New


Job description

GPU Programmer / Software Engineer

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