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Cuda Engineer Jobs in Oregon (NOW HIRING)

Nvidia

Senior System Simulation Architect

Hillsboro, OR · On-site

Support CPU architects and performance engineers in their use of functional models, performance ... Familiarity with CUDA * Experience with CPU/GPU application development and optimization in Pytorch ...

Nvidia

OR · On-site

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

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All JobsCuda Engineer JobsCuda Engineer Jobs in Oregon

Cuda Engineer information

See Oregon salary details

$38.6K

$113.4K

$145.4K

How much do cuda engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for cuda engineer in Oregon is $113,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

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 GPU programming and parallel computing tend to have higher salaries. Certifications and a strong understanding of CUDA tools can also influence compensation.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly valued by employers across technology, research, and industry sectors.
What are popular job titles related to Cuda Engineer jobs in Oregon? For Cuda Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Oregon look for? The top searched job categories for Cuda Engineer jobs in Oregon are:
Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Oregon as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $113,427 per year, or $54.5 per hour.

AI Performance Library Architect

Intel Corporation

Hillsboro, OR • On-site

$170K - $315K/yr

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 156 rated electronics manufacturers

Job description

Job Details:
Job Description:
Software and AI (SAI) organization is looking for a software development engineer to work on oneDNN project ( https://github.com/uxlfoundation/oneDNN ). oneDNN is a complex cross-platform open-source software project focusing on neural network performance. oneDNN is a critical and highly visible component of Intel AI strategy, powering key AI applications including OpenVINO, Tensorflow, Pytorch, ONNX Runtime, and more. In this role, you will be responsible for design, development, and maintenance of new functionality in oneDNN to enable performance critical portions of AI workloads. In this role you will be supporting software developers optimizing AI frameworks and workloads for Intel CPUs and GPUs, as well as cross-platform ecosystem of AI software developers contributing to oneDNN.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Minimum requirements:
  • Master's degree in Mathematics, Physics, Computer Science, or a relevant STEM field. OR
  • Ph.D. degree in Mathematics, Physics, Computer Science, or a relevant STEM field.
  • 5+ years of experience in the following areas:
    • C and C++
    • Maintaining or contributing to open-source software projects
    • Software libraries design and architecture
    • Implementation of linear algebra algorithms (functions from BLAS, LAPACK, or PyTorch)
    • Performance engineering and software performance optimizations
    • Floating point arithmetic and numerical stability
    • Software development on Linux
    • 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 (HPC) applications development
  • 3 year+ Floating point implementations of transcendental functions (sin, cos, tanh, elu, etc)
  • 1 year+ Algorithms for non-IEEE low precision data types (bfloat16, fp8, fp4)
  • 1 year+ AI assisted software development

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and/or schoolwork/classes/research.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, California, Folsom
Business group:
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $170,500.00-315,490.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

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Benefits

Hours and flexibility

Workplace

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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