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Machine Learning Quantum Computing Jobs in Portland, OR

Intel

CPU Formal Verification Engineer

Hillsboro, OR

$164K - $311K/yr

... to AI and machine learning systems. In this role, you will directly impact Intel's ability to ... computing experiences. Posting Statement:All qualified applicants will receive consideration for ...

Adidas

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 ...

Intel

Software Research Engineer/Scientist

Hillsboro, OR

$201K - $284K/yr

Intel is in the middle of an exciting transformation, with a vision to create and extend computing ... machine learning, automation capabilities and other data analysis techniques to collect, explore ...

Varsity Tutors

Statics and Dynamics Tutor

Portland, OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving:

Varsity Tutors

Statics Tutor

Portland, OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

Nvidia

Senior CPU Design Engineer

Hillsboro, OR · Hybrid

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are ... computing. The NVIDIA CPU team is looking for inquisitive, motivated engineers with design ...

Panthalassa

Offshore Technician

Portland, OR

... computing and affordable renewable fuels delivered to shore. The company is a public benefit ... Thus, both learning new skills and training others on the skills you currently command will be ...

Fisher Investments

Azure Cloud Engineer

Camas, WA

... meet cloud computing best practices * Manage implementations and ongoing operation of cloud ... Experience with Azure IaaS (Virtual Machines, Storage, Networking) and PaaS (App Services, Azure ...

Panthalassa

Offshore Technician

Portland, OR · On-site

... computing and affordable renewable fuels delivered to shore. The company is a public benefit ... Thus, both learning new skills and training others on the skills you currently command will be ...

Panthalassa

Offshore Technician

Portland, OR

... computing and affordable renewable fuels delivered to shore. The company is a public benefit ... Thus, both learning new skills and training others on the skills you currently command will be ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Portland, OR

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 11, 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:
Machine Learning Quantum Computing jobs near you
CPU Formal Verification Engineer

CPU Formal Verification Engineer

Intel

Hillsboro, OR

$164K - $311K/yr

Full-time

Medical, Retirement, PTO

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: 

Intel put Silicon in Silicon Valley. No one else is obsessed with engineering and has a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let's do something wonderful together. Join us, because at Intel, we are building a better tomorrow.

Role Impact:
As a Formal Verification Engineer, you will play a pivotal role in ensuring the quality and reliability of Intel's cutting-edge CPU technologies. Working as part of the CPU team, you will leverage formal verification methodologies to develop, implement, and validate the next generation of high-performance CPUs that power a variety of innovative devices, from laptops to AI and machine learning systems. In this role, you will directly impact Intel's ability to deliver world-class products that enrich the lives of people across the globe. Join us and help engineer the future at Intel.
Key Responsibilities:

  • Own the formal verification of microarchitecture blocks, methodologies, and critical aspects of CPU designs.
  • Develop comprehensive formal verification strategies, plans, and proofs aligned with microarchitecture specifications.
  • Create abstraction models to simplify design complexity and ensure convergence on validation.
  • Collaborate with architects, RTL developers, and physical design teams to enhance verification efficiency.
  • Analyze, debug, and resolve issues identified during verification, documenting findings and corrective actions.
  • Develop and document formal verification test plans and conduct technical reviews with design and architecture teams.
  • Maintain and innovate formal verification infrastructure and methodologies to streamline development.
  • Mentor junior engineers and contribute to the growth of technical expertise within the team.
  • Support post-silicon failure debug and resolution efforts when required.
Qualifications:

You must possess the below minimum qualifications 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. Experience listed below would be obtained through a combination of your degree, research and or relevant previous job and or internship experiences.

Minimum Qualifications:


Bachelor's degree in Computer Engineering, Electrical Engineering, or a related field with 8+ years of relevant experience listed below, or a Master's degree with 6+ years of relevant experience listed below, or a PhD with 4+ years of experience listed below.

Experience in 3 or more the following areas:

  • Proficiency in formal verification, including the use of industry-standard tools such as JasperGold, Questa Formal, or VC Formal.
  • Strong understanding of computer architecture fundamentals, microarchitecture, and memory systems.
  • Hands-on experience with hardware modeling languages, including System Verilog or Verilog.
  • Proficiency in scripting or programming languages such as Python, Perl, C/C++, or TCL.
  • Experience in assertion writing, coverage analysis, and failure debugging.

    Preferred Qualifications:

    • Familiarity with x86 architecture, ISA, and system architecture.
    • Experience with post-silicon validation and debugging.
    • Demonstrated technical innovation through research publications, patents, or advanced validation methods.
    • Strong communication and collaboration skills, with a track record of teamwork in cross-functional environments.


    Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara, US, Texas, AustinBusiness 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: $164,470.00-311,890.00 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

    Hours and flexibility

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    Get the full story on Breakroom

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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

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