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Quantum Computing Research Scientist

Nexus Labs
Austin
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 revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-generation quantum algorithms and hardware prototypes that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, equipped with state-of-the-art quantum processors and AI-driven research platforms. This role offers unparalleled opportunities to shape humanity's technological future while working on projects with global impact.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Lead experimental validation of quantum hardware prototypes in cryogenic environments
  • Collaborate with AI teams to hybridize quantum-classical computing architectures
  • Publish breakthrough research in Nature/Science journals and industry whitepapers
  • Mentor cross-functional teams in quantum computing fundamentals
  • Secure federal grants and corporate partnerships for 2026 quantum initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum error correction or topological quantum computing
  • Expertise in cryogenic quantum system engineering and control electronics
  • Proven track record of securing $500K+ in research funding
  • Strong background in machine learning for quantum optimization
  • Experience with quantum hardware platforms (Rigetti, IBM, D-Wave)
  • Deep understanding of quantum security protocols and NIST standards

Required Skills

Quantum Computing Cryogenics Error Correction Qiskit Q# Machine Learning Topological Quantum Systems Quantum Cryptography Research Leadership

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