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2026 Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and systems that will redefine computing paradigms. This role offers unparalleled opportunities to shape the future of technology in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry pioneers.

As part of our elite Quantum Research Division, you'll work on cutting-edge projects spanning quantum error correction, topological qubits, and quantum machine learning. We provide competitive compensation, flexible work arrangements, and a culture that rewards intellectual curiosity and bold innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction techniques for fault-tolerant systems
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to validate quantum processor performance
  • Publish breakthrough research in top-tier scientific journals
  • Mentor junior researchers and drive cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum information theory and quantum mechanics
  • Published research in quantum computing or related fields
  • Experience with high-performance computing and parallel programming
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Machine Learning Q# Qiskit Cirq Quantum Error Correction Topological Qubits HPC Scientific Research

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