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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
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join the forefront of technological revolution as a Quantum Computing Research Scientist at FutureTech Innovations. We're pioneering breakthroughs in quantum algorithms and error correction to solve humanity's most complex challenges. Our multidisciplinary team collaborates with Nobel laureates and industry disruptors to build the computational infrastructure of 2026 and beyond.

This role offers unparalleled access to our state-of-the-art quantum lab, competitive equity packages, and opportunities to publish groundbreaking research. We provide relocation assistance and flexible work arrangements for exceptional candidates.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols for scalable quantum processors
  • Lead experimental validation of quantum supremacy claims
  • Collaborate with hardware teams to optimize qubit coherence times
  • Publish research in top-tier journals and present at international conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure external funding through NSF and DoE grant proposals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published record in quantum information science or related fields
  • Strong background in linear algebra, probability theory, and complexity theory
  • Demonstrated ability to translate theoretical concepts into experimental protocols
  • Experience with high-performance computing environments
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Qiskit Cirq Q# Machine Learning Algorithm Design Error Correction High-Performance Computing Linear Algebra Python

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