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Quantum Computing Research Scientist

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Future Technologies at the forefront of technological evolution as we pioneer the next wave of quantum innovation. We're seeking visionary Quantum Computing Research Scientists to architect solutions that will redefine computing by 2026. Our state-of-the-art lab in San Francisco offers unparalleled resources to explore quantum algorithms, error correction, and practical applications across industries. This role combines deep scientific rigor with entrepreneurial spirit in an environment where your breakthroughs become tomorrow's reality.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error mitigation techniques to enhance quantum circuit fidelity
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Lead cross-functional research initiatives targeting 2026 quantum computing milestones
  • Publish findings in leading scientific journals and present at international conferences
  • Secure and manage research grants from government and private entities
  • Mentor junior researchers and contribute to quantum education initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years of postdoctoral research
  • Proven expertise in quantum algorithm development (e.g., Shor's, Grover's variants)
  • Strong programming skills in Python, Qiskit, and quantum circuit simulators
  • Published record in quantum error correction and fault-tolerant systems
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or similar)
  • Demonstrated ability to secure research funding and manage complex projects
  • Deep understanding of quantum information theory and tensor network methods

Required Skills

Quantum Computing Quantum Algorithms Error Correction Python Qiskit Quantum Hardware Research Machine Learning

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