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Quantum Computing Research Scientist

Innovate Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join the forefront of technological revolution as a Quantum Computing Research Scientist at Innovate Future Labs. We're pioneering breakthroughs in quantum algorithms and hardware that will redefine computing by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab, where your work will directly shape the future of AI, cryptography, and materials science.

We offer unparalleled resources, including access to IBM Quantum and D-Wave systems, alongside a culture that values intellectual curiosity and rapid experimentation. Your contributions will accelerate humanity's transition into the quantum era.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum circuits on superconducting and photonic platforms
  • Develop error-correction protocols to achieve fault-tolerant quantum computing
  • Collaborate with hardware teams to co-design quantum processors
  • Publish research in top-tier journals and present at IEEE Quantum Week
  • Secure $2M+ in NSF and DoD grants for quantum research initiatives
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information with 3+ years postdoc experience
  • Published research in quantum computing or condensed matter physics
  • Proficiency in Qiskit, Cirq, or quantum circuit simulation frameworks
  • Expertise in quantum error correction and fault tolerance
  • Demonstrated ability to secure government research funding
  • Experience with cryogenic quantum systems or photonic quantum processors
  • Strong background in linear algebra and quantum mechanics

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Cryogenics Photonics Machine Learning Superconducting Circuits Quantum Hardware Research Grants

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