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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms and hardware interfaces that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to explore quantum supremacy, cryptography, and molecular modeling breakthroughs. Collaborate with Nobel laureates and industry pioneers in an environment where theoretical physics meets real-world innovation. Enjoy competitive equity packages, flexible work arrangements, and dedicated R&D budgets for your experimental projects.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning and optimization problems
  • Develop error-correction protocols for scalable quantum systems
  • Lead cross-functional teams in prototyping quantum-classical hybrid architectures
  • Author peer-reviewed publications and patent disclosures for quantum innovations
  • Establish industry partnerships for quantum computing applications in finance and healthcare
  • Mentor junior researchers in quantum information theory and experimental physics

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent industry experience)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or similar)
  • Publication record in quantum computing or quantum information theory
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra, complex analysis, and statistical mechanics
  • Proficiency in high-performance computing environments and parallel programming

Required Skills

Quantum Computing Machine Learning Cryptography C++ Python Qiskit Linear Algebra High-Performance Computing

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