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Cuda Programming Jobs in Oregon (NOW HIRING)

CUDA programming and NVIDIA GPU architecture expertise. Proved experience influencing product strategy and technical roadmap at a senior level. Major open-source contributions. With competitive ...

Familiarity with CUDA programming and/or GPUs. Experience with HPC or large-scale computing environments. Widely considered to be one of the technology world's most desirable employers, NVIDIA offers ...

CUDA programming and NVIDIA GPU architecture expertise. * Proved experience influencing product strategy and technical roadmap at a senior level. * Major open-source contributions. With competitive ...

Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA Programming fluency in C/C++ with a deep understanding of algorithms and software development.

CUDA programming and optimization experience. Experience using data science in the energy industry. Experience using GPGPU programming and design practices. Background with network software ...

CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU ...

CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU ...

CUDA programming and optimization experience. Experience with network software development. Experience with AI: Published record of thought leadership in a technical area or industry segment - Deep ...

Senior Software Engineer - NVIDIA Warp

OR · On-site +1

$122K - $161K/yr

Turn new CUDA features and programming models into supported Warp functionality that improves performance and portability across successive generations of NVIDIA accelerated-computing platforms and ...

Senior System Software Engineer, ML and Vector Search

OR · On-site +1

$122K - $161K/yr

You care deeply about robust, readable, high-performance code Familiar with at least one parallel programming or concurrency framework, such as CUDA, OpenMP, OpenACC, Java concurrency, pthreads, etc ...

Senior Product Manager, cuEST and cuEquivariance

OR · On-site +1

$126K - $166K/yr

... CUDA, or parallel programming models Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams Proven ability to translate technical ...

Strong programming ability in C, C++, and scripting languages such as Python. Good understanding or ... Shown knowledge of compute (CUDA/OpenCL), modern graphics (DirectX12, OpenGL, Vulkan, Metal), or DL ...

... 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 ...

... 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 ...

Showing results 21-40

Cuda Programming information

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$29

$57

$86

How much do cuda programming jobs pay per hour?

As of Sep 13, 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.

Senior System Software Engineer - Performance

Hillsboro, OR • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 23 days ago


Key responsibilities

  • Design, develop, test, and optimize software for next-generation SoCs in both pre-silicon and post-silicon phases.

  • Review architectural performance bottlenecks and identify HW/SW policies to improve performance and efficiency.

  • Build and drive architecture analysis and communication regarding technology and performance metrics.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


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 tightly coupled CPU, GPU and DPU technology 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!

NVIDIA is searching for a highly motivated, technical engineer to join the Tegra system-on-chip (SoC) software organization. You will work on key aspects of our ARM SW ecosystem and system software architecture. With a targeted charter to enable best-in-class datacenter-scale performance and efficiency for our next generation of datacenter products, including CPUs and CPU+GPU Superchips.

What you will be doing:

  • Design, develop, test, and optimize software for our next-generation SoCs. In both pre-silicon and post-silicon phases of execution.

  • Review architectural performance bottlenecks for various system wide work loads. Identify HW/SW policies to drive performance and performance/watt leadership.

  • Using strong communication skills, build and drive architecture, analysis documents and communications to internal and/or external audiences about our technology.

  • Competitive analysis comparing uArchitecture & workload performance metrics on NVIDIA's ARM SoCs against emerging processors from other silicon vendors.

  • Influence and drive full-stack adoption of performance optimizations and best practices across NVIDIA SW products & OSS SDKs

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience).

  • 6+ years of relevant computer architecture or SW development experience.

  • Proven leadership skills and strong ownership on past projects.

  • Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs.

  • Strong understanding of multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.

  • Strong stills in performance analysis, data analysis and performance optimization.

  • Strong use of linux perf tool, application/library performance optimizations.

Ways to stand out from the crowd:

  • Deep expertise in ARM architecture and SW ecosystem.

  • Proficient in analyzing, debugging and tuning performance of complex system software stacks.

  • Experience with CPU server system workloads and performance analysis.

  • Familiarity with CUDA programming and/or GPUs.

  • Experience with HPC or large-scale computing environments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 30, 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

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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