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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of quantum revolution. We're pioneering next-gen quantum algorithms to solve humanity's greatest challenges. As part of our elite research team, you'll develop scalable quantum systems that will redefine computing by 2026. Our state-of-the-art lab offers unparalleled resources for breakthrough innovation in cryptography, optimization, and machine learning.

We provide competitive compensation, equity, and flexible work arrangements in our LEED-certified campus overlooking the Bay. Shape the future with mentors who've published in Nature and IEEE journals.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead experimental validation of quantum systems in cryogenic environments
  • Collaborate with hardware engineers to optimize qubit coherence times
  • Develop error-correction protocols for fault-tolerant quantum computation
  • Publish peer-reviewed research and present at international conferences
  • Secure $2M+ in annual research grants from NSF and DoD
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
  • Expertise in quantum error correction and fault tolerance
  • Published research in top-tier quantum computing journals
  • Proficiency in Python, C++, and low-level quantum control systems
  • Experience with quantum hardware (superconducting, trapped ions, or photonic)
  • Strong background in linear algebra and quantum mechanics
  • Track record of securing federal research funding

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Python C++ Cryogenics Quantum Error Correction Fault Tolerance Machine Learning Cryptography

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