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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will redefine computational paradigms. Our interdisciplinary team collaborates with NASA, DARPA, and global tech leaders to solve humanity's most complex challenges.

Located in our state-of-the-art San Francisco facility, you'll have access to quantum annealers, superconducting processors, and a $50M R&D budget. We offer competitive equity packages, unlimited PTO, and sabbatical opportunities every 18 months. This role is perfect for candidates who thrive at the intersection of physics, computer science, and futuristic innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experiments on D-Wave and IBM quantum processors to benchmark performance
  • Collaborate with theoretical physicists to develop error correction protocols for fault-tolerant systems
  • Author peer-reviewed publications for Nature Physics and IEEE journals
  • Secure $5M+ in government grants for quantum supremacy projects
  • Mentor PhD candidates in quantum information theory
  • Develop roadmaps for quantum advantage in cryptography and materials science

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent research experience)
  • 3+ years hands-on experience with quantum programming languages (Qiskit, Cirq, or Quipper)
  • Published research in quantum algorithms or quantum error correction
  • Proficiency in Python, C++, and high-performance computing frameworks
  • Deep understanding of quantum entanglement and decoherence phenomena
  • Experience with quantum annealing optimization techniques
  • Track record of translating theoretical models into practical implementations
  • Strong background in linear algebra and probability theory

Required Skills

Quantum Computing Qiskit Cirq Machine Learning Cryptography Superconducting Processors Quantum Algorithms High-Performance Computing Python C++

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