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Quantum Computing Research Scientist

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

Job Description

Join the forefront of technological revolution at FutureTech Innovations! We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll work in our state-of-the-art lab to develop next-gen quantum algorithms and hardware interfaces. This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and directly impact the future of computation. Our dynamic startup culture combines academic rigor with entrepreneurial energy, offering competitive equity packages and flexible work arrangements.

Responsibilities

  • Lead R&D initiatives in quantum error correction and fault-tolerant systems
  • Develop novel quantum algorithms for optimization and machine learning applications
  • Collaborate with hardware teams to design quantum-classical hybrid interfaces
  • Publish research in top-tier journals (Nature, Science, etc.) and present at IEEE conferences
  • Mentor junior researchers and contribute to quantum computing educational initiatives
  • Secure and manage federal grants from DARPA and NSF for quantum research projects

Qualifications

  • Ph.D. in Physics, Computer Science, or related field with 3+ years quantum research experience
  • Proven expertise in quantum circuit design and Qiskit/Cirq framework implementation
  • Strong publication record in quantum computing or condensed matter physics
  • Proficiency in Python, C++, and quantum simulation tools (Q#, Quil)
  • Deep understanding of quantum decoherence mitigation techniques
  • Experience with high-performance computing architectures and parallel programming
  • Ability to translate complex quantum concepts into practical business applications

Required Skills

quantum computing quantum algorithms quantum error correction Qiskit Cirq Q# research machine learning optimization algorithms

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