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Gpu Programmer Jobs in Arizona (NOW HIRING)

Intel

End to End GPU AI Software Architect

Phoenix, AZ · On-site

$292K - $413K/yr

... Intel GPU AI software. Scope spans the entire stack including firmware, drivers, frameworks ... As a principal engineer, recognized as a domain expert who influences and drives technical ...

Centraprise

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 ...

Introl

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 ...

Introl

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 ...

Introl

Data Center Technician

Litchfield Park, 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 ...

Intel

Machine Learning Engineer

Phoenix, AZ

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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How much do gpu programmer jobs pay per hour?

As of Jul 19, 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 develops software that leverages graphics processing units to perform parallel computations, often for rendering graphics, scientific simulations, or machine learning tasks. They typically use programming languages like CUDA or OpenCL and have knowledge of graphics APIs and hardware architecture.

Which IT job is the highest paid?

In the IT industry, roles such as Chief Technology Officer (CTO), Solutions Architect, and Cloud Engineering Manager tend to be among the highest paid, often earning six-figure salaries or more. Specialized skills in areas like cybersecurity, AI, and cloud computing, along with extensive experience and certifications, can significantly increase earning potential.

What engineer makes $500,000 a year?

Highly experienced GPU programmers or senior graphics engineers in top tech companies can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such roles typically require advanced skills in graphics programming, CUDA, or shader development, along with extensive industry experience and often a master's or Ph.D. degree.

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 the typical daily responsibilities of a GPU Programmer?

As a GPU Programmer, your daily tasks often involve designing, developing, and optimizing algorithms that leverage GPU architectures for increased performance in applications such as graphics rendering, scientific computing, or machine learning. You will routinely write and debug parallel code, profile workloads to find bottlenecks, and collaborate with software engineers, data scientists, and hardware specialists to integrate GPU-accelerated solutions. Documentation and code reviews are also important parts of your routine to ensure maintainability and knowledge sharing within the team. This role typically combines independent project work with regular cross-disciplinary collaboration, making adaptability and teamwork key to success.

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.

How much do GPU engineers make?

GPU engineers typically earn a median salary ranging from $90,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in graphics programming, parallel computing, or CUDA may command higher salaries. Compensation can also include bonuses and stock options in larger tech firms.
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:
Gpu Programmer jobs near you
Infographic showing various Gpu Programmer job openings in Arizona as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, 1% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $76,633 per year, or $36.8 per hour.
End to End GPU AI Software Architect

End to End GPU AI Software Architect

Intel

Phoenix, AZ • On-site

$292K - $413K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

11th of 143 rated electronics manufacturers

Job description

Job Details:Job Description: 

The Software Group delivers software that brings Intel silicon to life with the best performance for our customers

Architects, designs and provides technical oversight of the development of Intel GPU AI software. Scope spans the entire stack including firmware, drivers, frameworks, protocols, algorithms, and/or applications. Interacts with technologists across Intel and within the industry to evaluate feasibility of requirements and determine priorities for development. This role will interface regularly with architects of relevant components, engineers, management as well as be available to cross functional partners like product management, Systems, and SoC. Responsible for ensuring that the software stack is built to meet the requirements outlined for the product in terms of supported workloads, capabilities needed, performance, stability, and ease of use. Responsible for key technical design decisions, and will ensure that they are well thought out, documented, and communicated across teams.
As a principal engineer, recognized as a domain expert who influences and drives technical direction across Intel and industry. Develops and mentors other technical leaders, grows the community, acts as a change agent, and role models Intel values. Aligns organizational goals with technical vision, formulates technical strategy to deliver leadership solutions, and demonstrates a track record of relentless execution in bringing products and technologies to market.

Qualifications:Minimum Qualifications:-Bachelors in EE, CS, or equivalent-10 years experience with Software architecture-5 years experience with AI Software architecturePreferred Qualifications:-Experience working on a GPU or AI Accelerator product-Strong communication skills-Experience working with communication libraries, compiler technologies, and AI frameworksJob Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, Arizona, Phoenix, US, California, Folsom, US, California, Santa ClaraBusiness group:The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $292,910.00-413,520.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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