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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 150.000 – USD 200.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureTech Innovations at the forefront of computational revolution. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and solve previously impossible problems. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum lab, pushing the boundaries of information science.

Our team operates at the intersection of physics, computer science, and mathematics to create real-world quantum applications. We offer competitive benefits, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Conduct experimental research on quantum hardware systems
  • Develop error correction protocols for fault-tolerant quantum computing
  • Lead cross-functional projects with AI and cryptography teams
  • Publish research in peer-reviewed journals and present at international conferences
  • Secure research grants and patents for quantum innovations
  • Mentor junior researchers and PhD candidates

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Strong publication record in quantum information science
  • Expertise in linear algebra and quantum mechanics principles
  • Experience with NISQ hardware and error mitigation techniques
  • Track record of securing research funding (NSF, DOE, etc.)
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Fault Tolerance Quantum Cryptography Research Methodology Machine Learning

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