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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution! We're seeking visionary Quantum Computing Research Scientists to architect the computational paradigms of 2026. This role offers unparalleled opportunities to pioneer breakthroughs in quantum algorithms, error correction, and hardware optimization in our state-of-the-art Silicon Valley facility. Collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from drug discovery to climate modeling. Your work will directly shape the quantum-powered future, with competitive compensation, equity, and exclusive access to next-gen quantum processors.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead research in quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure patents and intellectual property for quantum innovations
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, Q#)
  • Expertise in quantum algorithms and quantum information theory
  • Strong background in machine learning and high-performance computing
  • Proven track record of peer-reviewed publications
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Excellent problem-solving skills and scientific curiosity
  • Ability to work in cross-functional teams with engineers and physicists

Required Skills

Quantum Computing Machine Learning Python Qiskit Cirq Quantum Algorithms Error Correction High-Performance Computing

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