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Cuda Jobs in Oregon (NOW HIRING)

Intel

AI Software Engineering Intern

Hillsboro, OR · On-site

  • Medical

  • Retirement

  • PTO

Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations:US, California, Folsom Posting ...

Nvidia

Senior Developer Technology Engineer - AI

Hillsboro, OR · Hybrid

$59.25 - $78.50/hr

A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. * Hands on experience doing low-level performance optimizations. * In-depth expertise with CPU and ...

Nvidia

HPC Performance Engineer

OR · On-site +1

Experience with OpenACC, OpenMP, MPI, CUDA and Standard Language Parallelism. * Strong skills in performance analysis and tuning, as well as a broad understanding of parallel applications development ...

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR · On-site

$141K - $191K/yr

  • Medical

  • Retirement

  • PTO

... CUDA, LLVM, oneAPI, SYCL, ONNX, IREE, OpenVINO, TVM. * 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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

Software Engineer L5, Python Platform

OR · On-site +1

$388K - $619K/yr

  • Medical

  • Life

  • Retirement

  • PTO

CUDA-aware Python, TensorRT, torch.compile, ONNX) Expertise in performance optimization for low-latency/high-throughput distributed systems. Demonstrated ability to collaborate cross-functionally ...

Agility Robotics

Senior Software Engineer, Navigation

Salem, OR · On-site +1

$155K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with GPU-accelerated spatial data structures (e.g., NVBlox, specialized CUDA implementations) for high-throughput, low-latency map updates and querying. * Strong foundational knowledge of ...

Intel

AI Performance Library Architect

Hillsboro, OR · On-site

$170K - $315K/yr

  • Medical

  • Retirement

  • PTO

Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL Preferred qualifications : * 3 years+ Machine learning and deep learning algorithms or High-performance computing ...

Agility Robotics

Senior Software Engineer, Navigation

Salem, OR · On-site

$155K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with GPU-accelerated spatial data structures (e.g., NVBlox, specialized CUDA implementations) for high-throughput, low-latency map updates and querying. * Strong foundational knowledge of ...

Nvidia

Senior AI Researcher - World Foundation Models

OR · On-site +1

Advanced proficiency in Python, PyTorch, C++, and CUDA with strong research-engineering practices (reproducibility, testing, profiling, experiment tracking). * Experience training and debugging large ...

Intel

Compiler Engineer

Hillsboro, OR

$128K - $181K/yr

  • Medical

  • Retirement

  • PTO

... CUDA, or GPU programming. - Knowledge of performance analysis, optimization, and debugging techniques. Seize the opportunity to be part of Intel's mission to create world-changing technology that ...

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Cuda information

See Oregon salary details

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$217.8K

How much do cuda jobs pay per year?

As of Aug 20, 2026, the average yearly pay for cuda in Oregon is $211,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $216,700.00 and $216,700.00 per year, depending on experience, location, and employer.

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 Oregon?

The most popular types of Cuda jobs in Oregon are:

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

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

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

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

What cities in Oregon are hiring for Cuda jobs?

Cities in Oregon with the most Cuda job openings:

Cuda jobs near you
Infographic showing various Cuda job openings in Oregon as of August 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $211,996 per year, or $101.9 per hour.

Senior System Software Engineer - Performance

Nvidia

Hillsboro, OR

Full-time

Re-posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 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 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

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

Year founded

1993

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