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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we architect the computational landscape of 2026. We seek visionary Quantum Computing Research Scientists to pioneer breakthroughs that will redefine industries. This role offers unparalleled opportunities to work with cutting-edge quantum hardware, develop novel algorithms, and collaborate with Nobel laureates in our state-of-the-art San Francisco lab.

Our team thrives on innovation, offering competitive equity packages, flexible work arrangements, and dedicated R&D budgets. Shape the future of computing while contributing to humanity's next technological paradigm shift.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation challenges
  • Lead experimental quantum computing projects using superconducting qubit systems
  • Develop error correction protocols for scalable quantum processors
  • Collaborate with hardware engineers to optimize quantum circuit performance
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives
  • Secure patents for novel quantum computing methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum information science or related fields
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with superconducting or trapped-ion quantum processors
  • Strong background in linear algebra and complex systems theory

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Superconducting Qubits Error Correction Physics Simulation Machine Learning

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