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Quantum Computing Research Scientist

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 300.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer quantum computing breakthroughs that will redefine industries by 2026. We seek visionary researchers to develop scalable quantum algorithms and hybrid quantum-classical systems. Our state-of-the-art lab in San Francisco offers unparalleled resources to translate theoretical models into practical applications. This role collaborates with MIT and Caltech partners to solve challenges in cryptography, materials science, and AI optimization. Enjoy flexible work arrangements, competitive equity packages, and continuous learning stipends. Be part of the team that will unlock the next era of computational power.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols to achieve fault-tolerant quantum computation
  • Collaborate with hardware teams to co-design quantum processors and control systems
  • Lead hybrid quantum-classical framework development for enterprise solutions
  • Publish research in top-tier journals and present at IEEE/APS conferences
  • Secure research grants and partnerships with national labs
  • Mentor junior researchers and cross-functional engineering teams

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development using Qiskit/Cirq
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong publication record in quantum information science
  • Proficiency in Python, C++, and high-performance computing frameworks
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Deep understanding of quantum mechanics and linear algebra

Required Skills

Quantum Computing Qiskit Cirq Python C++ Quantum Error Correction Fault-Tolerant Systems Machine Learning High-Performance Computing

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