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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Research Scientist, you'll shape the future by developing groundbreaking algorithms and systems that solve previously unsolvable problems. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where innovation thrives. We're seeking visionaries who are passionate about pushing the boundaries of computational science and contributing to technologies that will define the next decade.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization and simulation problems
  • Collaborate with physicists and engineers to develop quantum hardware-software interfaces
  • Lead research initiatives in quantum error correction and fault-tolerant computing
  • Publish findings in top-tier journals and present at international conferences
  • Develop scalable quantum machine learning frameworks for real-world applications
  • Mentor junior researchers and foster a culture of scientific excellence
  • Secure external funding through grants and partnerships with industry leaders

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Expertise in quantum mechanics, linear algebra, and algorithm complexity theory
  • Proven track record of peer-reviewed publications in quantum computing
  • Proficiency with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong background in machine learning and high-performance computing
  • Ability to secure research grants and manage multi-disciplinary projects

Required Skills

quantum computing quantum algorithms quantum mechanics Qiskit Cirq Q# quantum hardware machine learning research fault tolerance

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