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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Future Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Join Future Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. Our multidisciplinary team develops groundbreaking algorithms and hardware to solve previously impossible computational challenges. We offer a dynamic environment where your expertise will directly shape the future of AI, cryptography, and materials science.

Located in San Francisco's thriving tech ecosystem, we provide competitive compensation, flexible work arrangements, and opportunities to collaborate with Nobel laureates and industry visionaries. Your work will impact global industries from healthcare to finance.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols to enhance quantum system stability
  • Collaborate with hardware teams to validate quantum processor performance
  • Publish research in top-tier journals and present at international conferences
  • Mentor junior researchers and lead cross-functional innovation projects
  • Secure federal and private research funding through compelling proposals
  • Translate theoretical breakthroughs into practical industry applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability, and information theory
  • Publication record in quantum computing or related domains
  • Experience with superconducting or photonic quantum systems
  • Excellent problem-solving skills and innovative thinking
  • Ability to work collaboratively in fast-paced research environments

Required Skills

quantum computing quantum algorithms quantum information theory superconducting qubits error correction quantum simulation Q# Python machine learning

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