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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum computing solutions to solve humanity's most complex challenges. As a Quantum Research Scientist, you'll design and implement next-gen quantum algorithms, collaborate with Nobel laureates, and shape the future of computational science. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where breakthroughs are celebrated daily. If you're passionate about pushing quantum boundaries and want your work to impact global industries, this is your moment.

Responsibilities

  • Design and develop novel quantum algorithms for cryptography, optimization, and machine learning
  • Lead experimental quantum computing projects using superconducting and photonic systems
  • Collaborate with cross-functional teams to translate theoretical models into practical applications
  • Publish peer-reviewed research and present findings at international conferences
  • Mentor junior researchers and drive innovation in quantum error correction techniques
  • Secure patents for proprietary quantum methodologies and architectures

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Expertise in quantum circuit design and quantum programming languages (Qiskit, Cirq)
  • Proven track record of publishing in Nature/Science or top-tier quantum journals
  • Strong background in quantum information theory and quantum error correction
  • Experience with cryogenic quantum systems and photonic quantum processors
  • Proficiency in high-performance computing and parallel programming frameworks
  • Demonstrated ability to secure competitive research funding (NSF, DOE, DARPA)

Required Skills

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

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