$122.40K - $161.30K/yr
NVIDIA Nsight Compute helps CUDA engineers around the world to innovate in Artificial Intelligence (AI) and High Performance Computing. Join our team and help develop groundbreaking performance tools ...
$122.40K - $161.30K/yr
Familiarity with deep learning accelerator architectures such as the GPU and hands-on experience with CUDA programming and kernel optimization. * A strong analytical approach with experience using ...
$122.40K - $161.30K/yr
We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models ...
$122.40K - $161.30K/yr
We are looking for a motivated Deep Learning engineer to bring advanced CUDA features and Distributed Runtime technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will ...
$122.40K - $161.30K/yr
NVIDIA is seeking a Senior Software Engineer, NCCL and CUDA specialization to join our Cloud Service Provider (CSP)Engagements team, focusing on ML software stack functionality and performance for ...
OR · On-site
Join us in developing the CUDA-Q platform for programming powerful hybrid quantum-classical multi-processor systems. We are looking for a dedicated engineer with expertise in GPU-programming and ...
CUDA-Q is the open-source programming framework bridging classical accelerated computing and quantum processors, to enable fault-tolerant quantum-GPU supercomputing. This role sits where quantum ...
OR · On-site
Join us in developing the CUDA-Q platform for programming powerful hybrid quantum-classical multi-processor systems. We are looking for a dedicated engineer with expertise building extensible ...
$122.40K - $161.30K/yr
We are hiring software engineers to work on the CUDA driver for Windows. CUDA is NVIDIA's platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements ...
You will work across PyTorch, CUDA, C++, and GPU profiling to optimize training and rendering ... Collaborate with researchers, CUDA engineers, ML engineers, and production teams to turn promising ...
NVIDIA seeks a Developer Relations Manager to lead our work in architecting impactful usage and adoption of our core CUDA Math Libraries. We are interested in finding a leader in high performance ...
$122.40K - $161.30K/yr
Help define forward-looking improvements to the CUDA APIs and programming model * Write effective, maintainable, and well-tested code * Develop code for multiple operating systems What we need to see ...
$104.40K - $143.40K/yr
We are seeking a talented Deep Learning Compiler & Tools Engineer focused on CUDA Tile (Performance & Infrastructure) to join our team. You will collaborate closely with compiler developers ...
OR · On-site
$122.40K - $161.30K/yr
Familiarity with at least one parallel programming framework, such as CUDA, OpenACC, OpenMP, etc. * You care deeply about robust, readable, high-performance code * Excited to learn, explore new ...
$122.40K - $161.30K/yr
Help define forward-looking improvements to the CUDA APIs and programming model * Write effective, maintainable, and well-tested code * Develop code for multiple operating systems What we need to see ...
$122.40K - $161.30K/yr
Develop advanced C++/CUDA libraries and algorithms for speed-of-light performance * Remove ... Exceptional C++ programming skills NVIDIA is widely considered to be one of the technology world ...
$122.40K - $161.30K/yr
Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from ...
$104.40K - $143.40K/yr
Excellent C++, Python, and CUDA programming skills * Strong collaboration, communication, and documentation habits and ideally experience with working in a globally distributed organization Ways to ...
$139.90K/yr
Experience with NVIDIA GPUs, CUDA Programming, and Networking * Motivated self-starter with strong problem-solving skills and customer-facing communication skills * Passion for continuous learning.
New
$104.40K - $143.40K/yr
Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking * Experience with Machine Learning and Deep Learning concepts, algorithms and models * Familiarity with InfiniBand with ...
Cuda Engineer information
See Oregon salary details
$38.6K - $48.3K
5% of jobs
$48.3K - $58K
5% of jobs
$58K - $67.7K
0% of jobs
$67.7K - $77.4K
1% of jobs
$77.4K - $87.1K
5% of jobs
$94.4K is the 25th percentile. Wages below this are outliers.
$87.1K - $96.8K
11% of jobs
$96.8K - $106.5K
14% of jobs
$106.5K - $116.3K
7% of jobs
The median wage is $117.1K / yr.
$116.3K - $126K
13% of jobs
$126K - $135.7K
9% of jobs
$137.2K is the 75th percentile. Wages above this are outliers.
$135.7K - $145.4K
30% of jobs
$38.6K
$113.4K
$145.4K
How much do cuda engineer jobs pay per year?
As of May 29, 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 are the key skills and qualifications needed to thrive as a CUDA Engineer, and why are they important?
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.
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 CUDA Engineers?
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?
| Aspect | Cuda Engineer | GPU Developer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programming | Bachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL |
| Work Environment | Research labs, tech companies, hardware firms focusing on GPU acceleration | Software development teams, gaming, AI, scientific computing sectors |
| Employer & Industry Usage | Hardware manufacturers, AI companies, high-performance computing firms | Game 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.
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:
$122.40K - $161.30K/yr
Full-time
Posted 14 days ago
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.
NVIDIA Nsight Compute helps CUDA engineers around the world to innovate in Artificial Intelligence (AI) and High Performance Computing. Join our team and help develop groundbreaking performance tools for GPUs that cater to both newcomers and seasoned CUDA experts. Your contributions will be key in crafting the future of our profiling tools and helping engineers harness the full power of GPU technology for tomorrow's breakthroughs!
What you'll be doing:
Design and implement innovative features for our GPU performance profiling tools.
Collaborate and interact with other teams within NVIDIA, including the GPU HW team, the compiler team, and well as other developer tools teams.
Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the world.
What we need to see:
8+ years proven experience in software engineering with a focus on performance tools.
B.S. EE/CS (or equivalent experience).
Strong programming skills in C++.
Existing knowledge of GPU hardware and/or motivated to learn to closely collaborate with HW teams for design, bringup, and productization of new profiling features.
Ways to stand out from the crowd:
Expertise in CUDA kernel programming and profiling.
Outstanding interpersonal skills and the ability to collaborate effectively as part of a dynamic team.
Highly motivated to apply your knowledge and eager to learn new skills in a fast-paced environment.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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