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Full Time Cuda Jobs (NOW HIRING)

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Perception Engineer

Boston, MA · On-site +1

ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact through technology solutions ... TensorRT/CUDA, * CI/CD pipelines, and * Git. Ref Job No. N322

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Full Time Cuda information

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$111.5K

$206K

How much do full time cuda jobs pay per year?

As of Sep 10, 2026, the average yearly pay for full time cuda in the United States is $200,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $205,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Cuda vs Full Time Data Scientist?

AspectFull Time CudaFull Time Data Scientist
Required CredentialsCUDA programming certifications, computer science degreeStatistics, data analysis, programming skills, often a master's or PhD
Work EnvironmentTech companies, AI, machine learning, GPU-intensive tasksBusiness, finance, healthcare, research institutions
Employer & Industry UsageTech firms, hardware manufacturers, AI startupsCorporations, research labs, consulting firms

Full Time Cuda roles focus on GPU programming and parallel computing, often requiring specialized certifications and working in tech-heavy environments. Full Time Data Scientist positions involve data analysis, statistical modeling, and machine learning, typically requiring advanced degrees. While both roles involve technical skills, they serve different industry needs and work settings.

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Full Time Cuda jobs near you
Infographic showing various Full Time Cuda job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $200,510 per year, or $96.4 per hour.

NVIDIA 2027 Internships: Computer Architecture

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time, Internship

Posted 21 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

By submitting your resume, you acknowledge that your 2027 Computer Architecture internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve.

Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Computer Architecture teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field

What we need to see: Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered. Course or internship experience related to the following areas could be required: Experience in one or more of these focus areas: Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or High-Performance Computing Systems Digital Systems, VLSI Design, GPU or CPU Architecture, Computer Arithmetic, CMOS Transistors and Circuits, Computer Organization, Computer System Design Deep Learning, Modelling/Performance Analysis, Parallel Programming Hardware Control Programming, GPU Acceleration, Parallel Processing (CUDA), High-Performance Computing (HPC), Embedded Systems Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies: Verilog, SystemVerilog, VHDL, CUDA, Linux, C, C++, Python, Perl, Modern Graphics APIs (DirectX, OpenGL, Vulkan), GPU Computing (CUDA, OpenCL), Revision Control (Perforce, Git), HPC (MPI, OpenMP) Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits.

Applications are accepted on an ongoing basis. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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