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Remote Cuda Developer Jobs in Portland, OR (NOW HIRING)

Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee ... GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar) * Parallel programming (OpenMP ...

Remote Cuda Developer information

See Portland, OR salary details

$88.6K

$108.7K

$143.7K

How much do remote cuda developer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote cuda developer in Portland, OR is $108,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $122,000.00 per year, depending on experience, location, and employer.

How does a Remote CUDA Developer typically collaborate with team members across different locations?

As a Remote CUDA Developer, you will frequently collaborate with cross-functional teams such as data scientists, software engineers, and product managers through virtual meetings, code reviews, and collaborative platforms like GitHub or GitLab. Clear communication and thorough documentation are essential since team members may be in different time zones. You can expect to participate in regular stand-ups, sprint planning, and peer programming sessions, ensuring alignment and smooth integration of your GPU-accelerated code into larger projects. Tools like Slack, Zoom, and project management platforms help maintain connectivity and workflow efficiency.

What is a Remote CUDA Developer?

A Remote CUDA Developer is a software engineer who specializes in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to develop parallel computing applications, often for high-performance tasks like machine learning, scientific computing, or data analysis. They work remotely, collaborating with teams online rather than being physically present in an office. These developers write and optimize code to run efficiently on NVIDIA GPUs, enabling applications to process large amounts of data much faster than traditional CPU-only solutions.

What are the key skills and qualifications needed to thrive as a Remote CUDA Developer, and why are they important?

To thrive as a Remote CUDA Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid understanding of GPU architecture, typically backed by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU debugging tools, and version control systems like Git is commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication abilities help distinguish high performers in this role. These skills are vital for efficiently delivering high-performance computing solutions and collaborating seamlessly with distributed teams.

What is the difference between Remote Cuda Developer vs Remote Machine Learning Engineer?

AspectRemote Cuda DeveloperRemote Machine Learning Engineer
Required CredentialsCUDA programming certifications, computer science degreeMachine learning certifications, data science background
Work EnvironmentSoftware development, GPU optimizationModel development, data analysis
Industry UsageHigh-performance computing, gaming, AIAI, data science, predictive modeling

Remote Cuda Developers focus on GPU programming and optimization using CUDA, primarily in high-performance computing and AI applications. Remote Machine Learning Engineers develop and deploy machine learning models, often utilizing GPU resources but with a broader focus on data and algorithms. While both roles may involve GPU expertise, Cuda Developers specialize in low-level programming, whereas Machine Learning Engineers work on model development and deployment.

What are popular job titles related to Remote Cuda Developer jobs in Portland, OR? For Remote Cuda Developer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Cuda Developer jobs in Portland, OR look for? The top searched job categories for Remote Cuda Developer jobs in Portland, OR are:
Infographic showing various Remote Cuda Developer job openings in Portland, OR as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $108,701 per year, or $52.3 per hour.
Senior AI Algorithm Engineer in oneDNN

Senior AI Algorithm Engineer in oneDNN

Intel

Hillsboro, OR • On-site, Remote

$195K - $275K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

10th of 139 rated electronics manufacturers


Job description

Job Details:Job Description: 

The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, crossplatform, opensource performance library for deep learning applications (https://github.com/uxlfoundation/oneDNN).

oneDNN is a critical and highly visible component of Intel's AI strategy, powering industryleading frameworks such as OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others.

This is a unique opportunity to work at the intersection of AI algorithms, lowlevel performance engineering, and cuttingedge Intel hardware, enabling stateoftheart neural network performance across CPUs, integrated graphics, and discrete GPUs.

Responsibilities

  • Design, develop, and optimize new features and algorithms for oneDNN targeting Intel processors, Intel Processor Graphics, and Intel discrete GPUs.

  • Perform performance analysis and optimization to achieve bestinclass deeplearning inference and training throughput on current and nextgeneration Intel platforms.

  • Develop hardwarespecific parallel algorithms, including multithreading, vectorization, and memorylayout optimizations.

  • Contribute to assemblylevel programming and low-level performance tuning for Intel microarchitectures.

  • Collaborate with crossfunctional teams across software engineering, architecture, and AI performance to ensure strong integration with Intel's broader AI ecosystem.

  • Engage with the opensource community, participate in code reviews, and maintain high-quality coding and documentation standards.

Why Join Us

  • Work on a global, highimpact opensource AI project used across leading deeplearning frameworks.

  • Influence AI performance across Intel's full hardware roadmap, from CPUs to GPUs.

  • Collaborate with top experts in deep learning, HPC, compilers, and systems optimization.

  • Contribute to technology adopted by millions of developers worldwide.

  • Engage with a highly visible opensource product and the latest Intel hardware generations.

  • Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee wellbeing.

  • Benefit from flexible working hours.

  • Access a comprehensive benefits package: stock program, annual and quarterly bonuses, pension plan, medical and life insurance for you and your family, peertopeer recognition, meal card, Multisport card, holiday card, employee discounts, events, and more.

Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

  • BSc, MSc or PhD in Mathematics, Physics, Computer Science or in a related field
  • 5+ years of experience in the following areas:
    • C++
    • Algorithms and data structures, or Mathematical background
    • Low-level Performance Optimizations, preferably on GPUs

Preferred Qualifications:

  • 3 years+ High-performance computing (HPC) applications development
  • 1 year+ Machine learning and deep learning algorithms
  • 1 year+ Agile software development environment
  • 1 year+ Intel development tools.
  • Software libraries design and architecture
  • Background in Linear algebra solvers, matrix-vector operations, or Fast Fourier Transforms
  • Software development on Linux
  • GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar)
  • Parallel programming (OpenMP, TBB, or MPI)
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Santa ClaraBusiness group:Silicon and Platform Engineering Group (SPE): Deliver breakthrough silicon and platform solutions that deliver industry-leading products today while also defining the next generation of computing experiences.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 TrustN/ABenefits

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: $195,200.00-275,580.00 USDThe 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.

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Benefits

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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