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Cuda Jobs in Arizona (NOW HIRING)

Intel

AI Software Engineering Intern

Phoenix, AZ

  • Medical

  • Retirement

  • PTO

Graphics experience (GPU / CUDA) Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Internship ...

Intel Corporation

AI Software Engineering Intern

Phoenix, AZ · On-site

  • Medical

  • Retirement

  • PTO

Graphics experience (GPU / CUDA) Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Internship ...

CNH Industrial N.V.

Senior Software Engineer

Tempe, AZ · On-site

$117K - $154K/yr

Familiarity with GPU computing technologies such as CUDA or OpenCL. * Familiarity with ARM-based embedded Linux platforms (e.g., NVIDIA Jetson, Qualcomm, NXP, or similar). * Familiarity with modern ...

Rincon Research Corp

Sr. Software Engineer

Tucson, AZ · On-site

$229K - $280K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Experience with developing GPU code using CUDA libraries * Familiarity with additional high-level languages (Shell Scripting, etc.) Where is the position located? This position is located at our ...

Arete Associates

Scientist

Tucson, AZ · On-site

$80K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Parallel programming experience (threads, MPI, CUDA, etc.) * Active Secret Clearance The salary range for this role depends on the candidate's level of experience: * Scientist 1: $80,000 - $110,000 ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

... CUDA. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ · On-site

$158K - $269K/yr

... CUDA. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... CUDA. The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... CUDA. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in ...

Arete Associates

Scientist (Algorithm Developer)

Tucson, AZ · On-site

$85K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Parallel programming experience (threads, MPI, CUDA, etc.) * Active Top Secret Clearance The salary range for this role depends on the candidate's level of experience: * Scientist 1: $85,000 - $105 ...

Waabi

Senior / Staff Perception Engineer

Phoenix, AZ

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... CUDA. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in ...

Waabi

Research Engineer

Phoenix, AZ · On-site +1

$122K - $215K/yr

... CUDA. The US yearly salary range for this role is: $122,000 - $215,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in ...

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Cuda information

What is a CUDA developer?

A CUDA job typically involves developing, optimizing, and implementing parallel computing applications using NVIDIA's CUDA platform. CUDA (Compute Unified Device Architecture) enables developers to leverage the power of GPUs for high-performance computing tasks such as deep learning, simulations, and scientific computing. Professionals in this role often work with C, C++, or Python, using CUDA libraries and frameworks to accelerate processing. Strong knowledge of parallel programming, memory management, and GPU architecture is essential for success in this field.

What are some common challenges faced when working as a CUDA developer, and how can they be addressed?

CUDA Developers often encounter challenges such as debugging complex parallel code, optimizing memory usage, and ensuring compatibility across different GPU architectures. To address these, it's important to leverage profiling tools like NVIDIA Nsight to identify bottlenecks and inefficiencies. Collaborating closely with team members, such as data scientists and software engineers, can also help in resolving integration issues and achieving better performance. Staying updated with the latest CUDA Toolkit releases and best practices is key to overcoming these challenges and delivering robust GPU-accelerated applications.

What are the key skills and qualifications needed to thrive as a CUDA developer, and why are they important?

To thrive as a CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and experience with GPU architectures. Familiarity with the CUDA toolkit, NVIDIA GPUs, and related profiling/debugging tools is typically required, and certifications in GPU programming can be advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills for optimizing code and collaborating with cross-functional teams. These skills are crucial for developing high-performance applications that leverage GPU acceleration, ensuring efficiency and innovation in compute-intensive fields.

What is the difference between Cuda vs GPU Developer?

AspectCudaGPU Developer
Required CredentialsKnowledge of CUDA programming, often with a background in computer science or engineeringExperience with GPU programming, CUDA, OpenCL, or similar; often requires a degree in computer science or related fields
Work EnvironmentPrimarily focused on developing and optimizing CUDA-based applications for NVIDIA GPUsDesigning, developing, and maintaining GPU-accelerated applications across various platforms and hardware
Industry UsageUsed mainly in high-performance computing, AI, and scientific research involving NVIDIA GPUsApplied across gaming, scientific computing, AI, and multimedia industries

In summary, CUDA is a specialized skill set focused on programming NVIDIA GPUs using CUDA, while a GPU Developer has a broader role that may include using various GPU programming tools and working across multiple platforms. CUDA is a subset of the skills a GPU Developer might possess, making them closely related but distinct roles.

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

The most popular types of Cuda jobs in Arizona are:

What are popular job titles related to Cuda jobs in Arizona?

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

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

The top searched job categories for Cuda jobs in Arizona are:

Cuda jobs near you
Infographic showing various Cuda job openings in Arizona as of August 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

AI Software Engineering Intern

Intel

Phoenix, AZ

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers

Job description

Job Details:Job Description: 

Contributes to the design, development, and optimization of AI software solutions including algorithms, frameworks, and AI software architectures across domains such as computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware-software integration. May also include the creation of AI software solutions in partnership with internal product teams and external partners as well as system-level deployment to enable scalable and efficient AI solutions. As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through hands-on experience and projects that support Intel business goals in a collaborative environment.

This position requires to be onsite 2 days per week.

Qualifications:
This position is not eligible for employment-based visa/immigration sponsorship. Intel sponsors individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master's or PhD degree, or a Bachelor's degree with at least three years of post-degree related job experience. This position does not qualify for Intel Sponsorship because it is either (1) a non-STEM contributing position, or (2) a STEM position that only requires a Bachelor's degree and less than three years' experience.

Minimum Qualifications:
Available to work part-time for 6-12 months and to work onsite for the duration of the internship while pursuing a degree.
Pursuing a BS in the field of Computer Science , Electrical Engineering , Math or Computer Engineering or Data Science with 3+ months of experience in:
Programming languages such as Python and C++, and experience with AI frameworks and libraries like PyTorch, TensorFlow, ONNX Runtime, and OpenVINO.

Preferred Qualifications

  • Graphics experience (GPU / CUDA)


Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Internship length: 6 - 12 m

Job Type:Student / InternShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations: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 TrustN/ABenefits

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: $101,100.00-136,800.00 USD (Hourly Role)The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role 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.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

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Intel logo

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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