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Cuda Engineer Jobs in Arizona (NOW HIRING)

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... CUDA. The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to ...

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

Senior engineers are welcome to apply. You will... - Prototype, evaluate, and iterate on solutions ... CUDA. The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to ...

Senior Software Engineer

Tempe, AZ · On-site

$117K - $154K/yr

Engineering and Technical Job Type for Job Posting: Full Time Working Mode for Job Posting: Hybrid ... Familiarity with GPU computing technologies such as CUDA or OpenCL. * Familiarity with ARM-based ...

Sr. Software Engineer

Tucson, AZ · On-site

$229K - $280K/yr

What are the primary responsibilities in the Sr. Software Engineer position? * Responsible for ... Experience with developing GPU code using CUDA libraries * Familiarity with additional high-level ...

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Cuda Engineer information

See Arizona salary details

$34K

$100K

$128.1K

How much do cuda engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for cuda engineer in Arizona is $99,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

How much do Cuda engineers make?

Cuda engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing tend to have higher salaries. Certifications and a strong understanding of CUDA tools can also influence compensation.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

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

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly valued by employers across technology, research, and industry sectors.
What are popular job titles related to Cuda Engineer jobs in Arizona? For Cuda Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Arizona look for? The top searched job categories for Cuda Engineer jobs in Arizona are:
What cities in Arizona are hiring for Cuda Engineer jobs? Cities in Arizona with the most Cuda Engineer job openings:
Infographic showing various Cuda Engineer job openings in Arizona as of July 2026, with employment types broken down into 3% As Needed, 66% Full Time, 2% Part Time, 18% Temporary, 1% Contract, and 10% Nights. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $99,974 per year, or $48.1 per hour.

DevOps Engineer (Top secret clearance required)

LaBine and Associates

Tucson, AZ • On-site

$49 - $67/hr

Other

Re-posted 22 days ago


Job description

We seek an Advanced Software Engineer to create cutting-edge signal processing, geolocation, and communication systems solutions to challenging national security and defense problems.

You will work in a multi-disciplinary R&D environment with similarly skilled and motivated electrical engineers, mathematicians, and computer scientists/engineers in a highly rewarding personal and professional environment.
What required background will make you successful?
• Minimum 15 years experience in software engineering-related discipline
• Highly proficient in modern software engineering practices for testability and readability
• Highly proficient in using C++ and Python for engineering and scientific applications in Linux environments
• Highly proficient in algorithm development in GPUs and the use of the CUDA library
• Able to implement highly maintainable solutions complete with unit testing
• A Top Secret security clearance
• US CITIZENSHIP REQUIRED

Additional desired background:
• High-Performance Computing, including parallel and distributed computation
• DevOps Experience
• Kubernetes Experience
• Experience Optimizing CPU and GPU code for performance
• Numerical algorithms
• Visualization of large engineering data
• Networking experience
• Ability to travel up to 10%



LaBine and Associates logo

About LaBine and Associates

Sourced by ZipRecruiter

LaBine and Associates is a full service talent acquisition firm specializing in executive search for a myriad of industries. Through our partnerships with experienced associates, we can also provide staffing support, expert consultants, and interim executives for your company’s needs. We have deep industry knowledge with understanding in multiple industries. Our specialists include experts in banking/finance, HR/Legal, Technology, Health Care, Life Sciences, Engineering, Energy, Supply Chain, Mining, Agribusiness and manufacturing.

Industry

Professional, scientific, and technical services

Company size

11 - 50 Employees

Headquarters location

San Mateo, CA, US

Year founded

2013

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