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Machine Learning Quantum Computing Jobs in Portland, OR

Low-level Performance Optimizations, preferably on GPUs Preferred Qualifications: * 3 years+ High-performance computing (HPC) applications development * 1 year+ Machine learning and deep learning ...

... Machine learning algorithms for power and performance, power delivery and power gating techniques ... computing to extreme low-power applications. Identify emerging market trends and translate them ...

Computational Designer

Portland, OR · On-site

$21.75 - $26.50/hr

Be at the global forefront of design computing trends and be innovative in their approach and ... Knowledge in Machine Learning. * International and domestic travel to footwear factories to ...

Computational Designer

Portland, OR

$21.75 - $26.50/hr

Be at the global forefront of design computing trends and be innovative in their approach and ... Knowledge in Machine Learning. * International and domestic travel to footwear factories to ...

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 ...

Experience with machine learning systems, including model training, evaluation, inference, and use ... Understanding of system design, distributed computing, performance optimization, security, privacy ...

More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to tackle, that ...

... computing fluid flow parameters, and selecting machine components. Emphasizes systematic ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Machine Learning Quantum Computing information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do machine learning quantum computing jobs pay per year?

As of Jul 12, 2026, the average yearly pay for machine learning quantum computing in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What job categories do people searching Machine Learning Quantum Computing jobs in Portland, OR look for? The top searched job categories for Machine Learning Quantum Computing jobs in Portland, OR are:
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

Re-posted 7 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

11th of 142 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.

What Intel employees say

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Benefits

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Workplace

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Intel logo

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