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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware architectures that will redefine computational boundaries. Work alongside Nobel laureates in our state-of-the-art facility, where your breakthroughs will directly impact fields from drug discovery to climate modeling.

This role offers unparalleled resources, including access to IBM Quantum System Two and exclusive partnerships with leading quantum hardware manufacturers. Your work will shape humanity's technological trajectory while enjoying competitive compensation and comprehensive benefits.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Collaborate with hardware teams to optimize quantum error correction protocols
  • Lead research on quantum machine learning frameworks for 2026 deployment
  • Publish breakthrough findings in top-tier journals and industry conferences
  • Develop quantum security protocols for next-generation infrastructure
  • Mentor junior researchers and contribute to patent portfolios

Qualifications

  • PhD in Quantum Computing, Physics, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq)
  • Published research in quantum algorithms or quantum information theory
  • Deep understanding of quantum error correction and fault tolerance
  • Expertise in at least one classical ML framework (TensorFlow, PyTorch)
  • Strong background in linear algebra and complex analysis
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Machine Learning Quantum Error Correction Theoretical Physics TensorFlow PyTorch

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