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Machine Learning Quantum Computing Jobs in New York

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.

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

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 ...

Quantum Computing Inc.

Test Engineer

Hoboken, NJ · On-site

Test Engineer 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 ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

They have a very deep understanding of machine learning algorithms and cloud computing. Machine Learning Engineers should be comfortable with data engineering and should have an interest in the data ...

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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 York? For Machine Learning Quantum Computing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in New York look for? The top searched job categories for Machine Learning Quantum Computing jobs in New York are:
What cities in New York are hiring for Machine Learning Quantum Computing jobs? Cities in New York with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
RF Systems Engineer

RF Systems Engineer

Quantum Computing Inc.

Hoboken, NJ • On-site

Full-time

Posted 24 days ago

Job description

RF/Systems Engineer
Location: Hoboken, NJ
Division: Technology
Department: Defense
Reports to: Director of Defense Research & 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 and talented RF/Systems Engineer to be part of our
developmental efforts. As an RF/Systems Engineer you will be responsible for
researching, designing, developing, and applying novel and advanced physical effects
in the fields of photonics, quantum sensing, and beyond to the practical missions of RF
communications and signal intelligence to provide new strategic capabilities for the
warfighter. The ideal candidate will have a strong background in experimentation and
the scientific method, having designed and carried out experiments and test plans, as
well as a strong background in RF and electromagnetic theory, simulation, and
correlating theoretical and simulated predictions with experimentally measured results.
This position offers a unique opportunity to apply your expertise and skills in a
challenging and innovative technology environment.
This position offers a unique opportunity to be at the forefront of quantum technology,
contributing to the advancement of groundbreaking solutions in the rapidly evolving field
of quantum computing.
Duties and Responsibilities:
  • Support the development of several platforms based around the application of
    classical and quantum photonics to tactical RF systems as an RF/Systems
    engineer.
  • Work alongside other physicists and engineers to design novel and mission-
    enabling tactical RF systems
  • Evaluate critical component performance via board-level and system-level lab
    testing (LNAs, HPAs, filters, couplers, mixing blocks, etc.)
  • Work with hardware engineers, mechanical engineers, and quantum scientists
    during various phases of lab testing.
  • Evaluate, design, or simulate custom RF antenna apertures, microwave and
    photonic structures, and devise methods to fabricate and experimentally verify
    performance.
  • Integrate custom components into larger tactical systems.
  • Maintain documentation expected at milestone events during the entire design
    cycle (theory of operations, manufacturing documentation, validation testing
    results, etc.)
  • Perform integration testing to validate system performance.

Required Skills and Experience:
  • Bachelor of Science (BS) in Physics, Engineering Physics, RF Engineering, or
    Electrical Engineering from an accredited university.
  • Knowledge of antennas and microwave/photonic circuits.
  • Experience with at least one computational EM solver (Ansys HFSS, CST
    Microwave Studio, FEKO, AWG Microwave Office, or others) as well as
    understanding of the underlying mathematics of various simulation methods
    (MoM, FDTD, FEM) and their strengths and limitations.
  • Familiarity with microwave PCB design best practices related to Signal Integrity,
    Power Handling, Impedance Matching and EMI/EMC compliance.
  • Strong foundation in PCB and antenna design related to DFM, DFT, and DFA
    best practices.
  • Strong electrical engineering fundamentals in Analog, Power, and Digital
    Electronics.
  • Advanced experience with amplifiers, hybrid couplers, circulators, attenuators,
    mixers and waveguides.
  • Experience with microwave network design and optimization.
  • Experience in hardware production, quality verification, analyzing variability and
    determining tolerances.
  • Advanced experience comparing experimental measurement with simulated
    prediction of electromagnetic effects.
  • Strong experience with RF communication bands, modulations and protocols.
  • Hands-on experience with tuning, testing, troubleshooting, and integration with
    lab instruments such as: DMMs, Oscilloscopes, Vector Network Analyzers, and
    Spectrum Analyzers.
  • Software knowledge across C, C++, MATLAB/Octave, or Python.
  • Able to lift weights up to 50lbs (occasionally).
  • DoD Security Clearance, or ability to obtain one, required.
  • Excellent problem-solving and analytical skills.
  • Excellent written and verbal communication skills.
  • Detail-oriented.

Additional Preferred Skills:
  • Master of Science (MS) degree in Applied Physics, RF Engineering, or Electrical
    Engineering.
  • Experience designing integrated electronics, LNAs, mode forming networks, etc.
  • Experience working with optoelectronics.
  • Experience with military tactical radios and tactical protocols (Phantom, Saturn,
    Link-16, etc.)
  • Experience with RF analog, digital, and mixed-signal electronics.
  • Experience designing systems to meet compliance and certification requirements
    (e.g., CE/FCC).
  • Experience with quantum sensing.
  • Proficiency in RF performance validation in anechoic chambers.
  • Experience with radars and radar cross section.
  • Solid background in signal processing, communication theory, and link analysis.
  • Experience in satellite communication and system considerations.
  • Experience with manual board prototyping/refurbing using essential equipment
    like soldering irons and hot air guns.
    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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