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Cuda Programmer Jobs in Oregon (NOW HIRING)

OR · On-site

$122K - $161K/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 ...

OR · On-site

$122K - $161K/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 ...

OR · On-site

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 ...

OR · On-site

$122K - $161K/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 ...

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 ...

OR · On-site

Product, Engineering, Marketing, Applied Research, etc. * Lead strategic relationships with key ... Experience with NVIDIA products and SDKs (CUDA, CUDA-X Libraries, PhysicsNeMo, Omniverse) * Hands ...

OR · On-site

$104K - $143K/yr

Provide advise and drive compiler and applications engineering development teams based on the ... Experience with OpenACC, OpenMP, MPI, and CUDA. * Strong skills in performance analysis and tuning ...

Senior Fortran Compiler Engineer

Hillsboro, OR · On-site

$113K - $156K/yr

Familiarity with OpenACC, OpenMP, or CUDA * You have a real passion for compiler development With ... exclusive engineering teams are rapidly growing. If you're a creative and autonomous program ...

OR · On-site

Systems Engineering Depth: Strong Python and C++ skills (Rust a plus), with a solid grasp of CUDA, GPU memory management, and high-performance I/O - including GPUDirect Storage (GDS), RDMA, and NVMe ...

OR · On-site

$122K - $161K/yr

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the ... Strong experience in GPU kernel development and performance optimizations (especially using CUDA C ...

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 ...

OR · On-site

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ... Practical experience optimizing ML workflows using CUDA/GPU acceleration. * Background in feature ...

OR

$139K/yr

We are looking for a Raytracing Compiler Engineer to join as a member of our international ... Developing CUDA, DirectX, OpenGL/Vulkan, OptiX applications. * You should have strong interpersonal ...

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Cuda Programmer information

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How much do cuda programmer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for cuda programmer in Oregon is $41.80, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $54.38 per hour, depending on experience, location, and employer.

What are the most common challenges faced by Cuda Programmers in their daily work?

Cuda Programmers often encounter challenges related to optimizing code performance and efficiently managing memory on GPU architectures. Debugging and profiling can be complex, as issues may arise from both the code and hardware-specific elements, requiring close attention to parallelization and bottlenecks. Collaboration is key, as you’ll typically work closely with software engineers, data scientists, or researchers to integrate and optimize code for specialized workflows. Successfully navigating these challenges helps drive significant performance improvements and innovation in high-performance computing applications.

What are the key skills and qualifications needed to thrive in the Cuda Programmer position, and why are they important?

To thrive as a Cuda Programmer, you need strong programming skills in C/C++ and parallel computing, with a solid understanding of GPU architectures and CUDA development. Familiarity with CUDA libraries, performance profiling tools, and platforms like NVIDIA Nsight or Visual Studio is often required, while certifications from NVIDIA can be advantageous. Problem-solving abilities, attention to detail, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can optimize complex algorithms, work efficiently on high-performance computing projects, and collaborate smoothly with multidisciplinary teams.

What is a CUDA Programmer job?

A CUDA Programmer develops high-performance parallel computing applications using NVIDIA's CUDA (Compute Unified Device Architecture) framework. They optimize algorithms to run efficiently on GPUs, accelerating tasks such as machine learning, scientific simulations, and real-time data processing. This role requires proficiency in C/C++, an understanding of GPU architectures, and experience with parallel computing concepts to maximize performance.

What are the most commonly searched types of Cuda Programmer jobs in Oregon? The most popular types of Cuda Programmer jobs in Oregon are:
What are popular job titles related to Cuda Programmer jobs in Oregon? For Cuda Programmer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Cuda Programmer jobs in Oregon look for? The top searched job categories for Cuda Programmer jobs in Oregon are:
Senior DL Compiler Engineer -CUDA Tile

Senior DL Compiler Engineer -CUDA Tile

Nvidia

OR • On-site

$122K - $161K/yr

Full-time

Posted 3 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 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 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.

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, recommendation systems, speech recognition, image classification and other areas. Come join us to work with a top-notch team and have broad impact across the entire deep learning community.

What you'll be doing:

In this role, you will be working on CUDA Tile, a new tile-based programming model for our GPUs. CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA (https://developer.nvidia.com/cuda/tile). You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering or a related field (or equivalent experience)

  • 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design.

  • Ability to work independently, define project goals and scope, and lead your own development effort.

  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience.

  • Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms.

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 Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 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.#deeplearning

What Nvidia employees say

Hours and flexibility

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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

Year founded

1993