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Quantum Computing Research Scientist 2026

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and hardware solutions that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of artificial intelligence, cryptography, and material science.

Why Nexus Quantum Labs? We offer cutting-edge research facilities, unlimited compute resources, and a culture where your ideas become reality. Our competitive compensation package includes equity, flexible work arrangements, and dedicated R&D budgets for your breakthrough projects.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning optimization
  • Lead experimental quantum hardware testing and error correction protocols
  • Collaborate with cross-functional teams to develop quantum-resistant cybersecurity frameworks
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Secure patents for proprietary quantum computing methodologies
  • Mentor junior researchers and drive innovation in quantum software development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Published record in quantum computing or high-performance computing
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in linear algebra, probability theory, and complex analysis
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Proven ability to secure government or industry research grants

Required Skills

Quantum Computing Qiskit Q# Error Correction Machine Learning Cryptography High-Performance Computing Quantum Hardware Linear Algebra

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