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2026 Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum computing applications for 2026. We're seeking an innovative Quantum Computing Research Scientist to develop groundbreaking algorithms and systems that will redefine computational boundaries. You'll collaborate with world-class physicists and engineers in our state-of-the-art San Francisco facility, working on projects that will shape the future of artificial intelligence, cryptography, and materials science.

This role offers unparalleled opportunities to publish research, patent breakthroughs, and present findings at international conferences. You'll have access to our quantum annealing hardware and hybrid quantum-classical computing infrastructure. We provide competitive equity packages, flexible work arrangements, and continuous learning stipends to ensure you stay at the cutting edge of this rapidly evolving field.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols for quantum systems with fault tolerance
  • Collaborate with hardware engineers to bridge theoretical models with practical quantum annealing implementations
  • Lead cross-functional research projects in quantum cryptography and secure communication
  • Publish high-impact research in peer-reviewed journals and present at top-tier conferences
  • Mentor junior researchers and contribute to patent development
  • Stay current with emerging quantum computing frameworks and industry standards

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum annealing and hybrid quantum-classical systems
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
  • Proven ability to translate complex theoretical concepts into practical implementations
  • Excellent communication skills for technical documentation and stakeholder presentations

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Quantum Annealing Cryptography Machine Learning Python Research

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