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Machine Learning Quantum Computing Jobs in Belleville, NJ

GlobalFoundries

Quantum Ion Trap Integration

New York, NY · On-site

$98K - $176K/yr

Lead semiconductor integration efforts for ion-trap quantum computing platforms, with focus on BEOL CMOS integration, photonics integration, and advanced packaging. * Drive yield-learning and ...

Quantum Computing Inc.

RF Systems Engineer

Hoboken, NJ · On-site

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to ...

QUANTUM COMPUTING, INC.

RF Systems Engineer

Hoboken, NJ · Hybrid

$104K - $147K/yr

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to ...

Quantum Computing Inc.

Senior Hardware Engineer

Hoboken, NJ · On-site

$120K - $161K/yr

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to ...

GlobalFoundries

Quantum PDK Engineer

New York, NY · On-site

$98K - $176K/yr

... quantum computing platforms. This position supports development of Process Design Kits (PDKs ... learning and root-cause analysis * Create and maintain PDK documentation (release notes ...

GlobalFoundries

Quantum PDK Engineer

New York, NY · On-site

$98K - $176K/yr

... quantum computing platforms. This position supports development of Process Design Kits (PDKs ... learning and root-cause analysis * Create and maintain PDK documentation (release notes ...

QCi

Director of Product Management

Hoboken, NJ · On-site

$254K - $267K/yr

CRO About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Belleville, NJ

Machine Learning Quantum Computing information

See Belleville, NJ salary details

$25.9K

$43.3K

$89.5K

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

As of Jul 27, 2026, the average yearly pay for machine learning quantum computing in Belleville, NJ is $43,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 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 cities near Belleville, NJ are hiring for Machine Learning Quantum Computing jobs? Cities near Belleville, NJ with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
Quantum Ion Trap Integration

Quantum Ion Trap Integration

GlobalFoundries

New York, NY • On-site

$98K - $176K/yr

Full-time

Posted 8 days ago

GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

68th of 535 rated manufacturers

Job description

Quantum Ion Trap Integration - Sr. Section Manager
About GlobalFoundries
GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
Introduction
The Quantum Ion Trap Integration (Sr. Section Manager) role is a technical and people leadership position within the GF Labs / Technology Development organization, reporting into the Quantum Ion Trap Lead Integrator. This role is responsible for leading a team of engineers focused on integrating the semiconductor building blocks required for scalable ion-trap-based quantum computing platforms, while bridging advanced quantum device requirements with semiconductor process integration realities. The position drives the development of manufacturable, scalable, and reliable integration schemes across BEOL CMOS, interconnect, and supporting technologies, combining strong people leadership with hands-on technical depth to enable execution of ion trap integration programs aligned with broader system and architecture objectives.
Job Summary
As a Sr. Section Manager, this role leads a team of integration engineers responsible for developing and executing semiconductor integration strategies for ion-trap quantum computing platforms, with a focus on BEOL CMOS integration, including high-voltage (HV) and RF device requirements. The position ensures alignment between device performance, process capabilities, and manufacturability goals, while driving execution across key program priorities. This individual is accountable for team development, technical direction, and overall program delivery, working cross-functionally with device engineering, process development, packaging, reliability, and manufacturing teams. The role requires a strong combination of people leadership and deep technical expertise in semiconductor integration to deliver high-performance, scalable, and production-ready quantum hardware solutions.
Essential Responsibilities
  • Lead semiconductor integration efforts for ion-trap quantum computing platforms, with focus on BEOL CMOS integration, photonics integration, and advanced packaging.
  • Drive yield-learning and integration debug activities, including root-cause analysis, DOE definition, and corrective action implementation.
  • Translate system and device requirements into manufacturable integration schemes, process requirements, and design rules.
  • Manage, mentor, and develop a team of integration engineers, fostering a high-performance, collaborative engineering environment.
  • Set clear technical direction, priorities, and deliverables aligned with program milestones and organizational objectives.
  • Drive cross-functional execution with device engineering, process development, BEOL integration, packaging, reliability, and manufacturing teams.
  • Serve as a key interface to internal leadership and stakeholders, communicating integration progress, risks, and mitigation plans.

Required Qualifications
  • Education: BS in Electrical Engineering, Materials Science, Chemical Engineering, Physics, or related field
  • Years of Experience: 5+ years of relevant experience in semiconductor process or integration engineering
  • Travel: ~10%

Preferred Qualifications
  • Experience in semiconductor process integration, including BEOL, photonics integration, or advanced packaging
  • Familiarity with yield learning, DOE methodologies, and semiconductor metrology techniques
  • Experience working in or supporting high-volume manufacturing or advanced development environments
  • Exposure to quantum computing hardware, ion trapping technologies, or cryogenic / vacuum systems
  • Strong analytical and problem-solving skills, with ability to translate complex technical data into actionable insights
  • Effective communication skills and ability to work across multidisciplinary engineering teams

Expected Salary Range
$98,000.00 - $176,000.00
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

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