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Quantum Computing Research Scientist

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Quantum Dynamics at the forefront of technological revolution as we pioneer the next wave of computational breakthroughs. We're seeking visionary Quantum Computing Research Scientists to develop scalable quantum algorithms and solve previously unsolvable problems in cryptography, materials science, and AI optimization. Our state-of-the-art labs in San Francisco offer unparalleled resources to transform theoretical concepts into real-world applications.

This role is perfect for candidates passionate about shaping 2026's technological landscape through quantum innovation. You'll collaborate with Nobel laureates and industry pioneers in an environment that values intellectual curiosity and disruptive thinking.

Responsibilities

  • Design and implement novel quantum algorithms for practical industrial applications
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish breakthrough findings in top-tier journals and conferences
  • Develop patentable quantum solutions for healthcare and logistics challenges
  • Mentor junior researchers in quantum computing methodologies
  • Secure research grants from NSF, DARPA, and private foundations

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum information theory or quantum machine learning
  • Strong background in linear algebra and quantum mechanics principles
  • Experience with superconducting or trapped-ion quantum hardware
  • Proven track record of securing research funding

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Quantum Machine Learning Superconducting Qubits Research Methodology

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