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Machine Learning Quantum Computing Jobs in New Jersey

QCi

Director of Business Development

Hoboken, NJ · On-site

Chief Revenue Officer 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

Chief Revenue Officer 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

FPGA Design Engineer

Hoboken, NJ · On-site

$134K - $185K/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 ...

QCi

Manager, Product Design and Manufacturing About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines ...

QCi

$134K - $185K/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 ...

QCi

Mechanical Engineer

Hoboken, NJ · On-site

Manager, Product Design and Manufacturing About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines ...

QCi

$141K - $182K/yr

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

QCi

Engineering 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. We are the ...

SageSure

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration ... Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies ...

QCi

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 ...

QCi

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 ...

QCi

$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 ...

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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, 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 are popular job titles related to Machine Learning Quantum Computing jobs in New Jersey? For Machine Learning Quantum Computing jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in New Jersey look for? The top searched job categories for Machine Learning Quantum Computing jobs in New Jersey are:
What cities in New Jersey are hiring for Machine Learning Quantum Computing jobs? Cities in New Jersey with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
Senior/Principal Engineer, Photonics Design

Senior/Principal Engineer, Photonics Design

Quantum Computing Inc.

Hoboken, NJ • On-site

Full-time

Re-posted 26 days ago

Job description

Senior Principal Engineer, Photonics Design
Location : Hoboken, NJ/Cranbury, NJ
Division: Technology
Department : PIC Engineering
Reports to : Senior Director, PIC Engineering
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 designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.
Position Description
We are seeking an experienced Senior/Principal Engineer to lead the design, integration, and development of photonic integrated circuits with integrated laser sources. The ideal candidate will have deep expertise in semiconductor laser physics, photonic device design, process integration, and system-level modeling. This role requires a hands-on leader capable of driving projects from concept through fabrication, testing, and qualification, with a strong focus on innovation and performance optimization for next-generation photonic systems.
Duties and Responsibilities
  • Lead the design and modeling of integrated photonic circuits incorporating lasers, modulators, amplifiers, and passive components.
  • Develop and optimize epitaxial structures for laser integration on photonic platforms (e.g., Thin-film lithium niobate, Si photonics).
  • Perform optical and electrical modeling using tools such as Lumerical, COMSOL, FDTD, and Matlab/Python codes.
  • Drive process integration efforts including mask design, fabrication flow development, and collaboration with foundry partners.
  • Conduct device characterization, performance analysis, and reliability testing to meet product specifications.
  • Provide technical leadership in cross-functional teams including epitaxy, process engineering, testing, and reliability.
  • Support product qualification efforts including wafer acceptance testing, reliability modeling, and failure analysis.
  • Stay current with emerging technologies and contribute to intellectual property and technical roadmap development.

Required Skills and Experience
  • Ph.D. in Optics, Photonics, Electrical Engineering, or a related field.
  • 10+ years of industrial experience in semiconductor laser design, fabrication, and testing.
  • Strong background in photonic device modeling (FDTD, FDFD, PWEM, TMM, FEM).
  • Proficiency with photonic design and simulation tools (Lumerical, COMSOL, Sentaurus, etc.).
  • Experience with III-V semiconductor processes including lithography, etching, deposition, and characterization.
  • Demonstrated ability to lead technical projects and mentor junior engineers.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with photonic crystal lasers (PCSEL), VCSELs, DFB, EML, or SOA devices.
  • Knowledge of integrated photonic platforms (Si photonics, InP, heterogeneous integration).
  • Proficiency in programming for data analysis and automation (Python, Matlab, SQL, VBA).
  • Experience with reliability testing, wear-out modeling, and qualification for high-volume production.
  • Familiarity with mask design tools (KLayout, L-Edit) and process integration for photonics.
  • Track record of innovation through patents, publications, or product development.
  • Experience working in a cross-cultural, multi-site R&D environment.

Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.

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