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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation quantum algorithms and systems that will solve previously impossible computational challenges. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility, pushing the boundaries of quantum supremacy. This role offers unparalleled opportunities to shape the quantum landscape and leave an indelible mark on human technological advancement.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experiments on superconducting quantum processors to achieve error correction milestones
  • Develop hybrid quantum-classical computing frameworks for practical 2026 applications
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-functional collaboration with AI/ML teams
  • Secure and manage cutting-edge quantum computing resources and infrastructure

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Proven expertise in quantum algorithm design and quantum circuit optimization
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Strong publication record in quantum computing or related fields
  • Experience with quantum programming languages (Qiskit, Cirq, or Q#)
  • Ability to translate theoretical concepts into practical 2026-ready applications
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Quantum Computing Quantum Algorithms Superconducting Processors Error Correction Qiskit Cirq Fault-Tolerant Systems Theoretical Physics Machine Learning Research Leadership

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