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Machine Learning Quantum Computing Jobs in Oregon

Lonza Group Ltd.

Applied R&D Data Scientist

Bend, OR · On-site

Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to solve complex real-world scientific or technical problems. * Strong programming skills in ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site

Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to solve complex real-world scientific or technical problems. Strong programming skills in Python ...

Varsity Tutors

Linear Algebra Tutor

OR · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Eugene, OR · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Varsity Tutors

Linear Algebra Tutor

Portland, OR · Remote

$40/hr

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

Lam Research

Vision Systems Engineer 4

Tualatin, OR · On-site

Computer Vision Machine Learning and Deep Learning Statistical Modeling and Experimental Design Image Processing and Pattern Recognition Proficiency C/C++ , in Python and scientific computing ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site +1

Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to solve complex real-world scientific or technical problems. * Strong programming skills in ...

Lonza

Applied R&D Data Scientist

Bend, OR · On-site +1

Demonstrated experience applying data science, machine learning, AI, or scientific computing methods to solve complex real-world scientific or technical problems. * Strong programming skills in ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... computing, machine learning, and emerging technologies; communicate effectively with cross-functional teams, building trust and strong relationships across the organization. Telecommuting is ...

Nvidia

Senior Solutions Architect, Energy Sector

OR · On-site +1

NVIDIA's platforms for machine learning, deep learning and high-performance computing have already made a major impact on the energy sector and are broadly used across leading energy companies and ...

BetterHelp

Staff ML/AI Platform Engineer

OR · On-site +1

Requirements * 3+ years of experience in machine learning platform systems * Experience with autoscaling, and autoscaling such as load balancing * Solid understanding of distributed computing and ...

Nvidia

Senior Solutions Architect, Supercomputing

OR · On-site +1

NVIDIA's platforms for machine learning, deep learning and high-performance computing have already made a major impact and are broadly used across leading companies and start-ups. Our success has ...

Netflix

Research Scientist 5/6 - AI for Member Systems

OR · On-site +1

$466K - $750K/yr

Applied Machine Learning Research at Netflix drives various aspects of our business, including ... computing platforms and large web-scale distributed systems Applied research experience in ...

Nvidia

Senior Product Manager, cuEST and cuEquivariance

OR · On-site +1

$126K - $166K/yr

Learning: Bring back industry news, direct developer/customer conversations, and share critical ... quantum chemistry, atomistic simulation and AI Strong technical foundation in GPU computing, CUDA ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Oregon

Machine Learning Quantum Computing information

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 are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

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 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 popular job titles related to Machine Learning Quantum Computing jobs in Oregon?

For Machine Learning Quantum Computing jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in Oregon look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Oregon are:

What cities in Oregon are hiring for Machine Learning Quantum Computing jobs?

Cities in Oregon with the most Machine Learning Quantum Computing job openings:

Machine Learning Quantum Computing jobs near you

Senior Middleware Software Development Engineer

Hillsboro, OR • On-site

Intel Corporation
Manufacturing • 10K+ employees
Learn more about Intel Corporationexternal

$133K - $175K/yr

Full-time

Medical, Retirement, PTO

Re-posted 14 hours ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

Job description

Job Details:
Job Description:
Join our Communication Runtimes team as a Senior Cloud Software Development Engineer to develop cutting-edge software features and optimizations for Intel's oneCCL (Collective Communications Library).
This role offers the opportunity to build expertise with the latest Intel GPUs and CPUs used in data centers, collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs, and make meaningful contributions that advance scientific computing and machine learning capabilities.
Key Responsibilities
  • Communication Library Development
  • Design, develop, and maintain advanced features and performance optimizations for oneCCL.
  • Optimize software to achieve performance requirements including low latency, high bandwidth, and high reliability
  • Implement and enhance communication protocols across multiple layers of the communications stack

Cross-Functional Collaboration and Requirements
  • Collaborate with cross-functional teams to define software requirements and technical specifications
  • Work directly with scientists and engineers on high-performance computing applications and supercomputer implementations
  • Partner with hardware teams to optimize software-hardware integration for maximum performance

Performance Optimization and Analysis
  • Develop performance optimizations that improve communication latency and throughput
  • Conduct comprehensive performance analysis and benchmarking across different system configurations
  • Debug complex problems spanning multiple layers of hardware and software stack

What You'll Work On
  • Aurora Supercomputer: Direct collaboration with Argonne National Labs on one of the world's most advanced supercomputers
  • Cutting-Edge Hardware: Latest Intel GPUs and CPUs designed for data center and HPC applications
  • Impact: Meaningful contributions to scientific computing breakthroughs and machine learning advancement
  • Innovation: Development of next-generation communication libraries and optimization techniques

Core Competencies
  • Self-driven with high motivation to learn emerging technologies
  • Outstanding analytical and problem-solving skills
  • Excellent communication skills for technical collaboration
  • Understanding of multiple levels of communications stack architecture

Qualifications:
The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
  • Master's degree in Computer Science, Computer Engineering or in a STEM related field of Study
  • 3+ years of software development experience
  • 3+ years of Linux environment development experience
  • 3+ years of C and C++ programming experience
  • Experience with multithreaded programming and parallel computing concepts
  • Specialized Experience (At least one required)
    • Distributed computing systems and architectures
    • HPC (High-Performance Computing) communications libraries
    • Collective communications libraries (MPI, oneCCL/NCCL, or SHMEM)
    • GPU software development and optimization
    • Network communications stack development (one or more layers)

Preferred Qualifications
  • Ph.D. degree in Computer Science, Computer Engineering or in a STEM related field of Study
  • Experience developing performance optimizations that measurably improve communications latency or throughput
  • Experience debugging complex problems across different layers of hardware and software stack
  • Deep understanding of high-performance computing architectures and optimization techniques
  • Experience with Intel GPU and CPU architectures and their optimization characteristics
  • Knowledge of supercomputing environments and large-scale distributed systems
  • Familiarity with scientific computing and machine learning communication patterns

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Texas, Austin
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 Trust
N/A
Benefits
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: $128,880.00-245,160.00 USD
The 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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