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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join FutureTech Innovations at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms and systems that will redefine computational capabilities. This role offers unparalleled opportunities to collaborate with Nobel laureates and contribute to breakthroughs in cryptography, simulation, and AI optimization.

Our state-of-the-art Quantum Research Lab in San Francisco provides access to quantum hardware, advanced simulation environments, and unlimited resources. Enjoy competitive compensation, flexible work arrangements, and dedicated R&D funding to explore your boldest ideas.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Develop error-correction protocols for scalable quantum systems
  • Lead cross-functional teams in prototyping quantum applications
  • Publish research in top-tier journals and industry conferences
  • Collaborate with hardware teams to co-design quantum processors
  • Secure patents for innovative quantum methodologies
  • Mentor junior researchers and foster quantum literacy

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Publication record in quantum computing or theoretical physics
  • Expertise in quantum error correction and fault tolerance
  • Strong background in linear algebra and complex analysis
  • Experience with high-performance computing environments
  • Entrepreneurial mindset with passion for commercializing research

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Machine Learning Cryptography High-Performance Computing

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