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Cuda Programming Jobs in Oregon (NOW HIRING)

Senior Performance Engineer - DGX Cloud

OR · On-site +1

$104K - $143K/yr

... strong programming skills in C++ and Python, with the ability to build reliable analysis and ... Experience with CUDA, GPU computing systems, and GPU performance analysis * Hands-on experience ...

Compiler Engineer

Hillsboro, OR · On-site

$128K - $181K/yr

... 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 ...

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 ...

Lead Machine Learning Engineer

OR · On-site +1

$102K - $134K/yr

Strong programming skills in Python/PyTorch in a Linux environment. * Functional understanding of ... Functional understanding of C/C++/CUDA memory and threading models. Physical Requirements

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:

Software Engineer L5, Python Platform

OR · On-site +1

$388K - $619K/yr

We work to provide Netflix developers with the best support, solutions, and approaches to leverage ... CUDA-aware Python, TensorRT, torch.compile, ONNX) Expertise in performance optimization for low ...

Senior Software Engineer, DGX Cloud AI Infrastructure

OR · On-site +1

$122K - $161K/yr

Deep hands-on experience with NCCL, CUDA-aware distributed execution, and debugging multi-GPU and ... Expert-level Python and C/C++ programming skills. * Experience operating workloads in scheduled ...

AI Infrastructure Engineer

Hillsboro, OR · On-site

$170K - $315K/yr

We are looking for a performance-obsessed AI Infrastructure Engineer to push LLM inference to its ... Hands-on experience writing and optimizing custom GPU kernels using Triton, SYCL, CUDA/CUTLASS, or ...

... GPU programming, and performance optimization. Contributes to the design, development, and ... Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ...

Our diverse team of engineers and researchers have pioneered sparse, event-based, neuromorphic ... CUDA, LLVM, oneAPI, SYCL, ONNX, IREE, OpenVINO, TVM. * 5+ years of experience leading software ...

Showing results 21-40

Cuda Programming information

See Oregon salary details

$29

$57

$86

How much do cuda programming jobs pay per hour?

As of Aug 20, 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 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 August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $119,537 per year, or $57.5 per hour.

Senior Performance Engineer - DGX Cloud

Nvidia

OR • On-site, Remote

$104K - $143K/yr

Full-time

Posted 22 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

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads. We help AI researchers and platform teams understand end-to-end behavior across GPUs, networking, storage, and software stacks. We are seeking a Senior Performance Engineer to characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. Your work will shape scalable DGX Cloud systems, turn complex measurements into prioritized engineering decisions, and continuously raise the performance and reliability of AI workloads. Join our technically diverse team of infrastructure experts to unlock more efficient AI at scale.

What you'll be doing:

  • Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.

  • Design and execute rigorous performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.

  • Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.

  • Use profiling, observability, and data analysis to turn performance measurements into actionable optimization plans.

  • Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

  • Communicate performance findings, tradeoffs, and recommendations clearly to influence system and software design decisions.

What we need to see:

  • BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience).

  • 12+ years of experience in strong programming skills in C++ and Python, with the ability to build reliable analysis and automation workflows

  • Solid foundation in operating systems, computer architecture, and distributed systems

  • Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems

  • Ability to communicate technical findings, prioritize high-impact work, and build alignment across teams

Ways to stand out from the crowd:

  • Experience analyzing large-scale AI clusters or distributed training and inference workloads

  • Experience with CUDA, GPU computing systems, and GPU performance analysis

  • Hands-on experience with deep learning frameworks such as PyTorch or JAX/XLA

  • Deep understanding of system-level performance analysis, workload characterization, and optimization

NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 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