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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
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. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational capabilities. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility overlooking the Bay. This role offers unparalleled opportunities to shape the future of technology while enjoying competitive benefits and flexible work arrangements.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental validation of quantum systems using superconducting qubit platforms
  • Develop error correction protocols to advance quantum coherence beyond current limitations
  • Collaborate with hardware teams to translate theoretical models into scalable quantum architectures
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoctoral experience
  • Proven expertise in quantum algorithm design and quantum circuit optimization
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum error correction and fault-tolerant architectures
  • Published record in quantum computing research with citations in top journals
  • Experience with cryogenic quantum hardware systems and measurement techniques
  • Demonstrated ability to secure research funding through competitive grants

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Error Correction Q# Qiskit Fault-Tolerant Design Cryogenic Systems Machine Learning

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