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Quantum Computing Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join FutureTech Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational boundaries. Collaborate with world-class engineers in our state-of-the-art Silicon Valley lab and contribute to projects that will shape humanity's digital future.

Why FutureTech?
• Work on cutting-edge quantum hardware and software
• Competitive equity package and comprehensive benefits
• Flexible hybrid work model in innovation hub
• Annual research budget for conference attendance and publications

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for quantum systems operating at scale
  • Lead cross-functional teams in prototyping quantum computing solutions
  • Publish research in top-tier journals and present at international conferences
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Secure external funding through government grants and industry partnerships
  • Mentor junior researchers and contribute to intellectual property strategy

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Published research in quantum algorithms or quantum error correction
  • Strong background in linear algebra, probability, and complex systems
  • Experience with superconducting or ion-trap quantum hardware
  • Proven ability to lead complex technical projects
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Superconducting Qubits Machine Learning Research Leadership

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