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Cuda Programming Jobs in Oregon (NOW HIRING)

Nvidia

OR · On-site

$139K/yr

Excellent hands-on C++ programming skills applied to industry standard C++ compilers and ... Developing CUDA, DirectX, OpenGL/Vulkan, OptiX applications. * You should have strong interpersonal ...

Upstart

Staff/Principal Machine Learning Engineer

OR · On-site +1

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ... Practical experience optimizing ML workflows using CUDA/GPU acceleration. * Background in feature ...

Near AI

LLM Inference Engineer

OR · On-site +1

Deep knowledge of state-of-the-art GPU architectures, and effectively exploit them using PyTorch, Triton, CuTe, CUDA, etc. * Proven track record in designing and maintaining end-to-end high-traffic ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar) * Parallel programming (OpenMP, TBB, or MPI) Job Type:Experienced Hire Shift:Shift 1 (United States of America) Primary Location:

Netflix

OR

$388K - $619K/yr

We work to provide Netflix developers with the best support, solutions, and approaches to leverage ... CUDA-aware Python, TensorRT, torch.compile, ONNX) Expertise in performance optimization for low ...

Nvidia

OR

We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal ... CUDA, NCCL, driver, and firmware teams * Ensure key open-source performance and stress tools (e.g ...

Nvidia

OR

$122K - $161K/yr

Deep hands-on experience with NCCL, CUDA-aware distributed execution, and debugging multi-GPU and ... Expert-level Python and C/C++ programming skills. * Experience operating workloads in scheduled ...

Intel

AI Software Engineering Intern

Hillsboro, OR

... 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 America ...

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR

$141K - $191K/yr

Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic ... CUDA, LLVM, oneAPI, SYCL, ONNX, IREE, OpenVINO, TVM. * 5+ years of experience leading software ...

Intel

AI Performance Library Architect

Hillsboro, OR

$170K - $315K/yr

Performance engineering and software performance optimizations * Floating point arithmetic and numerical stability * Software development on Linux * Low-level performance optimizations using CUDA ...

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Cuda Programming information

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How much do cuda programming jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for cuda programming in Oregon is $57.47, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $67.12 per hour, depending on experience, location, and employer.

What is the salary of NVIDIA CUDA developer?

The salary of an NVIDIA CUDA developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Skilled CUDA programmers with advanced knowledge of parallel computing and GPU architecture tend to earn higher salaries.

What jobs use CUDA?

Jobs that use CUDA include roles such as GPU programmer, software developer, data scientist, and machine learning engineer, especially in fields like high-performance computing, artificial intelligence, and scientific research. These roles often require knowledge of parallel programming, C++, and GPU architecture, and involve developing or optimizing software to run efficiently on NVIDIA GPUs.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing use of GPU computing in fields like artificial intelligence, scientific research, and data processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to increase as these technologies expand across industries.

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 parallel programming and GPU optimization can command higher salaries, especially in tech hubs or companies with advanced AI and high-performance computing needs.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

What are popular job titles related to Cuda Programming jobs in Oregon? For Cuda Programming jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Cuda Programming jobs in Oregon look for? The top searched job categories for Cuda Programming jobs in Oregon are:
Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in Oregon as of July 2026, with employment types broken down into 9% As Needed, 56% Full Time, 4% Part Time, 15% Temporary, 15% Nights, and 1% Summer. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,537 per year, or $57.5 per hour.
Raytracing Compiler Engineer - Developer and Performance Technology

Raytracing Compiler Engineer - Developer and Performance Technology

Nvidia

OR • On-site

$139K/yr

Full-time

Posted 4 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 215 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Raytracing Compiler Engineer to join as a member of our international engineering team.

What you'll be doing:

  • Guide the design and implementation of a new LLVM-based backend JIT compiler targeting NVIDIA GPUs.

  • Design and develop new compiler passes and optimizations required to meet the high-performance and low compilation time requirements of the compiler.

  • Work with global compiler, hardware and application teams to oversee improvements and problem resolutions.

  • Apply and adapt the latest compiler technologies to produce premier, robust, supportable compilers and tools.

  • Get a chance to influence and work on new GPU architectures.

What we need to see:

  • B.S. or higher degree in Computer Science/Engineering or equivalent experience.

  • 12+ years of compiler development experience, including 3+ years of experience in LLVM with a focus on code generation.

  • Expertise in LLVM code generation, including instruction scheduling, software pipelining, register allocation, and LLVM IR.

  • Proficient in compiler design and in performance analysis tools.

  • Excellent hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks.

  • Strong background in software engineering principles crafting robust and maintainable solutions to challenging problems.

  • Good communication and documentation skills and self-motivated.

Ways to stand out from the crowd:

  • Masters or PhD preferred, with 5+ years of relevant experience.

  • Developing compiler optimizations and code generation for GPUs!

  • Developing CUDA, DirectX, OpenGL/Vulkan, OptiX applications.

  • You should have strong interpersonal skills and be capable of leading and influencing others in the department.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 16, 2026.

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

Pay

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

Year founded

1993

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