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Machine Learning Quantum Computing Jobs in Colorado

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Knowledge of edge computing and model optimization for deployment PLUG IN to CYMERTEK - And design ...

Principal RF Engineer

Boulder, CO · On-site

$120 - $160/hr

Demonstrated interest in learning and applying quantum computing, atomic physics, or related scientific concepts to support the development of advanced RF control and measurement systems. Nice to ...

Self-motivated with a passion for continuous learning, improving engineering processes, and ... Quantinuum is the world leader in quantum computing. The company's quantum systems deliver the ...

HSE Engineer - 918

Broomfield, CO · On-site

$75K - $90K/yr

Lead and/or participate in incident investigations at global locations to support a learning ... Quantinuum is the world leader in quantum computing. The company's quantum systems deliver the ...

Our quantum computing services are available through all major cloud providers, while we also meet ... Nice to have: experience with automated optical inspection & x-ray machines * Experience with MES ...

... Computing Architect, HPC Infrastructure Architect, Machine Learning Architect for HPC ... Understanding of emerging HPC technologies (e.g., quantum computing) * Experience with high-speed ...

HPC Software Architect

Aurora, CO · On-site

$150 - $190/hr

... Computing Architect, HPC Infrastructure Architect, Machine Learning Architect for HPC ... Understanding of emerging HPC technologies (e.g., quantum computing) * Experience with high-speed ...

$89K - $157K/yr

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a ... computing platform • Excellent written and verbal communication skills • Ability to work in a ...

Showing results 21-40

Machine Learning Quantum Computing information

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?

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

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

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

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

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

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

Infographic showing various Machine Learning Quantum Computing job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Advanced Opto-Mechanical Engineer - 926

Quantinuum

Broomfield, CO • On-site

$116K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

We are seeking an Advanced Opto-mechanical Engineer in our Broomfield, CO Location.
All applicants for placement in safety-sensitive positions will be required to submit to a pre-employment drug test.
Key Responsibilities:
  • Participate in a team of physicists, optical, and opto-mechanical engineers supporting the development of commercial and research systems for quantum computing
  • Design and develop opto-mechanical systems in new and novel ways to assemble and test advanced micro-optic and photonic systems
  • Participate in building, testing and alignment of optical systems.

YOU MUST HAVE:
  • Bachelor's Degree minimum
  • Minimum 6+ years' experience (advanced degree inclusive) with product, assembly tooling, or test equipment opto-mechanical CAD design for optical or photonic applications.
  • Due to Contractual requirements, must be a U.S. Person. defined as, U.S. citizen permanent resident or green card holder, workers granted asylum or refugee status
  • Due to national security requirements imposed by the U.S. Government, candidates for this position must not be a People's Republic of China national or Russian national unless the candidate is also a U.S. citizen.

WE VALUE:
  • Ph.D. or Masters in Optics, Mechanical Engineering, or a related field
  • Experience with Onshape or equivalent CAD system
  • Understanding of GD&T principles and practices
  • Experience with photonic or optical assembly
  • Experience with motion control systems used for alignment of optical components using vision assist or active feedback
  • Experience with materials and adhesives for optical assemblies
  • Experience with FEA (modal, structural, and thermal)
  • Hands on skills doing fabrication, knowledge of machining practices, assembly and test
  • Experience in creating drawings and assembly processes for optical systems
  • Experience working with polarization maintaining fiber and micro-optics systems
  • Broad understanding of optical principles and practices and intimate knowledge and experience applying this knowledge to projects

$116,000 - $145,000 a year
Compensation & Benefits:
The pay range for this role is $116,000 - $145,000 annually. Actual compensation within this range may vary based on the candidate's skills, educational background, professional experience, and unique qualifications for the role.
Quantinuum is the world leader in quantum computing. The company's quantum systems deliver the highest performance across all industry benchmarks. Quantinuum's over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution.
By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.
By joining Quantinuum, you'll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.
What's in it for you?
A competitive salary and innovative, game-changing work
Flexible work schedule
Employer subsidized health, dental, and vision insurance
401(k) match for student loan repayment benefit
Equity, 401k retirement savings plan + 12 Paid holidays and generous vacation + sick time
Paid parental leave
Employee discounts
Quantinuum is an equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. Know Your Rights: Workplace discrimination is illegal
Applications will be accepted on an ongoing basis, there is no application deadline for this position.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.