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Cuda Programming Jobs in Oregon (NOW HIRING)

... Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler ... Excellent hands-on C++ programming skills * Strong background in software engineering principles ...

Senior Engineer, Build and DevOps - ADI

OR · On-site +1

$129K - $166K/yr

You will work closely with RAPIDS build and development teams to ensure high-quality releases of CUDA/C++ and Python libraries as well as containers. What you'll be doing: Work in a team of DevOps ...

Senior Engineer - Quantum Error Correction Libraries

OR · On-site +1

$122K - $161K/yr

Excellent modern C++ and Python programming skills, including, debugging, functional testing, and ... Experience developing performance-critical GPU software using CUDA or a comparable environment.

Senior Deep Learning Software Engineer, Inference

OR · On-site +1

$122K - $161K/yr

GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus. Ways to Stand out from The Crowd Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive ...

Senior Performance Compiler Engineer - Triton

OR · On-site +1

$104K - $143K/yr

Experienced in parallel programming, including CUDA/OpenCL GPU programming or other parallel models such as OpenMP. Solid understanding of computer architecture and hands-on experience with assembly ...

Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization. Proven record of deploying or optimizing deep learning models in production environments. Experience ...

Hands-on experience with GPU programming (CUDA, Triton, CUTLASS) and performance optimization. Proven record of deploying or optimizing deep learning models in production environments. Experience ...

Senior Deep Learning Compiler Engineer - XLA

OR · On-site +1

$104K - $143K/yr

CUDA or OpenCL programming experience is desired but not required. Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms ...

Experience with NVIDIA GPUs and the CUDA library. Knowledge of deep learning frameworks like ... Proficiency in programming languages: Python, Bash, and C++. Experience with a container-based ...

Senior HPC and Quantum Systems Engineer

OR · On-site +1

$104K - $142K/yr

We are seeking a Senior HPC & Quantum Systems Engineer to help architect, deploy, and operate a ... Experience with or strong interest in quantum software environments including CUDA-Q, Qiskit, Cirq ...

As a Solutions Engineer based in our Corvallis, OR office, you will be part of our passionate and ... Basic knowledge of CUDA * Familiarity with Microsoft Visual Studio. * Knowledge of computer vision ...

Master's degree in Physics, Computer Science, Mathematics, Engineering, or related technical field ... CUDA Libraries, or NVIDIA AI software and frameworks Technical expertise in specific quantum ...

Solve difficult problems at the intersection of compilers, programming models, and high-performance ... CUDA You have a real passion for compiler development With competitive salaries and a generous ...

Senior Developer Technology Engineer

OR · On-site +1

$54.50 - $72/hr

A background that includes parallel programming, ideally CUDA C/C++. Hands on experience doing low-level performance optimizations. In-depth expertise with CPU and GPU architecture fundamentals.

Showing results 41-60

Cuda Programming information

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How much do cuda programming jobs pay per hour?

As of Sep 11, 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 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.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance 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 grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

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:

What cities in Oregon are hiring for Cuda Programming jobs?

Cities in Oregon with the most Cuda Programming job openings:

Infographic showing various Cuda Programming job openings in Oregon as of September 2026, with employment types broken down into 2% Internship, 65% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $119,537 per year, or $57.5 per hour.

GPU Compiler Engineer

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 29 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

We are searching for a Backend Compiler Engineer for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.

What you will be doing:

  • Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++

  • Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools

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

  • Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages

What we need to see:

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

  • 2+ years of compiler code generation experience

  • Excellent hands-on C++ programming skills

  • Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems

  • Good communication and documentation skills and self-motivated

Ways to stand out from the crowd:

  • M.S./PhD. with significant compiler related project or thesis work preferred

  • Background in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR)

  • Experience in developing CUDA, DirectX, OpenGL/Vulkan applications

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 25, 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


Nvidia logo

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