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Machine Learning Quantum Computing Jobs in Wethersfield, CT

QBTS) , D-Wave is a leader in the development and delivery of quantum computing systems, software ... maintenance, machining, or similar practical experience * Ability to perform first-order ...

Linear Algebra Tutor

Hartford, CT · Remote

$18 - $40/hr

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

Linear Algebra Tutor

New Haven, CT · Remote

$18 - $40/hr

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

... in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity ... The Advanced Learning and Analytics team researches and develops machine learning, computer vision ...

Python Tutor

New Haven, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Hartford, CT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

AI Infrastructure Engineer

Hartford, CT · On-site

$108K - $142K/yr

Experience with at least one Cloud Computing platform (experience with Microsoft Azure a plus ... You've gone deeper than reading blog posts, ideally having several example machine learning ...

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Machine Learning Quantum Computing information

See Wethersfield, CT salary details

$25.5K

$42.6K

$88K

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

As of Jul 14, 2026, the average yearly pay for machine learning quantum computing in Wethersfield, CT is $42,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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.

Mechanical Engineer II

D-Wave Quantum

New Haven, CT • On-site

Full-time

Posted 8 days ago


Job description

D-Wave (NYSE: QBTS), D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. It is the world's first commercial supplier of quantum computers, and the first and only to offer dual-platform quantum computing products and services, spanning both annealing and gate-model quantum computing technologies. D-Wave's mission is to help customers realize the value of quantum today through enterprise-grade systems available on-premises and via its Leap™ quantum cloud service, which offers 99.9% availability and uptime. More than 100 organizations across commercial, government, and research sectors trust D-Wave to address complex computational challenges using quantum computing. Learn more about realizing the value of quantum computing today and how D-Wave is shaping the quantum-driven industrial and societal advancements of tomorrow: www.dwavequantum.com.
About the role
D-Wave is seeking a mechanical engineer to join our New Haven engineering team and contribute to the design and development of advanced hardware for state-of-the-art quantum computing systems. In this role, you will work hands-on with complex cryogenic, vacuum, and electromechanical systems, helping transform ambitious engineering concepts into reliable, buildable hardware. You will collaborate across engineering, manufacturing, and experimentation in a lab environment where mechanical design plays a critical role in advancing quantum technology.
What you'll do
  • Design, prototype, test, and improve mechanical components and system subassemblies for complex electromechanical systems
  • Develop and maintain CAD models, detailed drawings, bills of materials, and supporting documentation for prototype builds, design reviews, and released designs
  • Apply mechanical engineering principles, including tolerance analysis, materials selection, and design for manufacturability and assembly (DFM/DFA)
  • Evaluate thermal design constraints for mechanical and electromechanical hardware, including CTE mismatch, bolted-joint behavior, heat-transfer paths, electronics enclosure cooling, and cryogenic component thermalization, using hand calculations, test data, FEA/CFD, and other simulation tools as needed
  • Support hands-on assembly, integration, testing, and troubleshooting of prototype and system hardware; document test results, assembly methods, design changes, and lessons learned
  • Collaborate with internal teams and suppliers to develop reliable, practical mechanical solutions and resolve fabrication, fit, assembly, and performance issues

About You
  • Bachelor's degree in Mechanical Engineering, or equivalent training and experience
  • 3+ years of professional experience in mechanical design or mechanical engineering, with demonstrated ability to independently drive assigned design tasks from concept through build, test, documentation, and release
  • Solid modeling experience in a professional CAD system
  • Experience creating and interpreting detailed mechanical drawings, including tolerances, fits, and GD&T
  • Proficiency designing machined and sheet-metal components
  • Demonstrated hands-on mechanical aptitude through lab work, fabrication, equipment maintenance, machining, or similar practical experience
  • Ability to perform first-order engineering analyses and clearly communicate assumptions, results, and design tradeoffs
  • Strong engineering judgment, critical thinking, problem-solving, and communication skills

A D-Waver's DNA
  • We look at the future and say "why not"; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
  • We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other.
  • We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other.
  • As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching.

Our Compensation Philosophy is Simple but Powerful:
We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they've got - not because they're simply making money, but because they've fallen in love with our vision, mission, values, and team.
During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.
Inclusion:
We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave.
Export Controls:
This position may include access to controlled information or technology under U.S. export control laws. Employment may be contingent on either the applicant verifying falling under the "U.S. Person" definition (including U.S. citizens, U.S. lawful permanent residents, and those granted U.S. asylum or refugee status) or the employer timely obtaining any necessary export license under federal laws. The employer valuates export licensing on a case-by-case basis and may decline to proceed with a job application in its sole discretion as export license applications can take many weeks to process.
The Fine Print:
No 3rd party candidates will be accepted
It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.
The base pay range for this role is:
$104,000- 156,000 USD (New Haven)