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Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join the forefront of technological revolution at FutureTech Innovations, where we're pioneering quantum solutions that will reshape industries by 2026. As a Quantum Computing Research Scientist, you'll collaborate with Nobel laureates and industry pioneers to develop next-gen algorithms that solve problems currently impossible for classical computers. Our state-of-the-art lab in San Francisco offers unparalleled resources, including access to 128-qubit processors and dedicated quantum annealing infrastructure.

We're seeking visionaries who thrive at the intersection of physics, computer science, and mathematics. You'll contribute to breakthrough projects in quantum cryptography, optimization, and machine learning while mentoring the next generation of quantum engineers. Our culture embraces radical experimentation, with 20% dedicated time for self-directed research and quarterly hackathons to accelerate innovation.

Responsibilities

  • Design and implement quantum algorithms for optimization, simulation, and machine learning applications
  • Lead research on quantum error correction techniques and fault-tolerant computing architectures
  • Develop hybrid quantum-classical frameworks for enterprise-scale problem-solving
  • Collaborate with hardware teams to optimize quantum circuit performance on proprietary processors
  • Author breakthrough research papers for top-tier journals and conferences
  • Translate theoretical concepts into practical solutions for Fortune 500 partners
  • Mentor PhD researchers and quantum engineering interns

Qualifications

  • PhD in Quantum Physics, Computer Science, or Mathematics (or equivalent research experience)
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
  • Published research in quantum computing or related fields (arXiv/IEEE/ACM)
  • Expertise in linear algebra, probability theory, and quantum information theory
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
  • Strong Python/C++ skills with high-performance computing optimization experience
  • Track record of translating theoretical concepts into working prototypes

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Quantum Algorithms Research Cryptography

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