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KPMG is currently seeking a Quantum Researcher, Manager to join our Enterprise Solutions team.

Responsibilities:

• Conduct advanced research on quantum algorithms, error correction, and hybrid quantum-classical systems, with a focus on near-term applications in optimization, simulation, and machine learning
• Develop and benchmark quantum solutions using gate-based platforms (IBM Quantum, IonQ, Azure Quantum) and quantum annealing systems (D-Wave) as appropriate to client requirements; design and implement quantum machine learning (QML) and quantum neural network (QNN) approaches for classification, regression, and generative modeling use cases
• Formulate client problems using quantum optimization techniques including variational algorithms, adiabatic methods, and hybrid classical-quantum architectures
• Evaluate quantum hardware and software vendors to support client technology selection and roadmap decisions; collaborate on interdisciplinary projects, integrating quantum technologies with classical AI/ML to enhance optimization and simulation capabilities
• Publish insights, whitepapers, and present findings at industry forums, contributing to KPMG's thought leadership in quantum computing; partner with universities, research institutes, and clients to prototype quantum solutions and evaluate their business impact
• Support business development through proposal contributions, capability demonstrations, and client workshops
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:

• Minimum five years of recent experience in related fields (optimization, computational physics, operations research, machine learning) with demonstrated quantum competencymin a professional service environment is preferred; minimum three years of recent experience in quantum research or development
• PHD from an accredited college or university is preferred; minimum of a Master's degree in quantum computing, physics, computer science, mathematics, or a related field required is required
• Experience with quantum machine learning techniques including quantum kernel methods, parameterized quantum circuits, and quantum neural network architectures
• Strong publication record or demonstrated contributions to quantum software, open-source projects, or commercial quantum applications, IBM Quantum Developer Certification or equivalent vendor credentials highly preferred
• Hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane, Ocean SDK) and simulation tools; familiarity with NISQ device characteristics and limitations; proven track record applying quantum technologies to business problems such as combinatorial optimization, simulation, or machine learning acceleration; experience designing and running experiments on real quantum hardware, including error mitigation strategies
• Travel twenty to forty percent required client engagements, and industry collaborations
• Deep knowledge of quantum mechanics, linear algebra, and optimization theory
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)