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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Future Labs 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 breakthrough algorithms and hardware prototypes that will redefine computational boundaries. This role offers unparalleled opportunity to shape the future of technology in our state-of-the-art research facility.

As a key member of our interdisciplinary team, you'll collaborate with Nobel laureates, industry pioneers, and government agencies to solve humanity's most complex challenges. We provide competitive compensation, flexible work arrangements, and access to cutting-edge quantum processors.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols to achieve quantum supremacy
  • Collaborate with hardware teams to prototype next-generation quantum processors
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in top-tier journals and present at international conferences
  • Secure government and private research funding through compelling proposals
  • Mentor junior researchers and foster cross-departmental innovation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Published research in quantum computing or related fields
  • Deep understanding of quantum error correction techniques
  • Experience with high-performance computing environments
  • Strong track record of securing research funding
  • Excellent written and verbal communication skills

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Q# Machine Learning High-Performance Computing Research Methodology

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