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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 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 industries. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum research facility, where innovation meets execution. Shape the future of computational science while solving humanity's most complex challenges.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
  • Lead experimental research in quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks for real-world deployment
  • Publish breakthrough research in top-tier journals and present at global conferences
  • Collaborate with hardware teams to translate theoretical models into practical quantum processors
  • Secure and manage research grants from government agencies and private foundations
  • Mentor junior researchers and drive quantum literacy initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoctoral experience
  • Proven expertise in quantum algorithm development and quantum circuit design
  • Strong publication record in quantum computing or adjacent fields
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Demonstrated experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Deep understanding of quantum error correction codes and fault-tolerance principles
  • Excellent communication skills with ability to translate complex concepts for diverse audiences

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Fault-Tolerant Systems Machine Learning Theoretical Physics Research Methodology

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