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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the future of technology as a Quantum Computing Research Scientist at FutureTech Innovations. Join our pioneering team developing next-gen quantum algorithms and hardware solutions that will redefine computing by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum lab, where your breakthroughs could revolutionize cryptography, AI, and materials science.

We offer competitive equity packages, unlimited R&D budgets, and the opportunity to publish groundbreaking research in Nature and Science. Our culture embraces intellectual curiosity with flexible hours, sabbaticals for deep research, and dedicated quantum simulation resources.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to integrate quantum processors with classical computing frameworks
  • Lead cross-functional projects with cryptography and AI divisions
  • Publish peer-reviewed research and present findings at international conferences
  • Mentor junior researchers and quantum engineering interns

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years quantum research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published work in quantum computing or theoretical physics
  • Expertise in quantum error correction and fault tolerance
  • Strong background in linear algebra and quantum mechanics
  • Experience with high-performance computing environments
  • Track record of translating theoretical models into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cirq Fault Tolerance Cryptography Machine Learning High-Performance Computing

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