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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're seeking a pioneering Quantum Computing Research Scientist to architect breakthrough solutions for 2026's most complex challenges. As a key member of our R&D team, you'll develop quantum algorithms, optimize qubit stability, and collaborate with Fortune 500 partners to commercialize quantum applications. Our Austin campus features state-of-the-art laboratories and offers competitive benefits including equity packages and wellness stipends. Shape the future of technology in an environment that values innovation and intellectual curiosity.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning
  • Lead qubit coherence research to overcome quantum decoherence challenges
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware engineers to integrate quantum-classical hybrid systems
  • Publish research in peer-reviewed journals and present at international conferences
  • Secure research grants and manage quantum computing IP portfolios
  • Mentor junior researchers and cross-functional innovation teams

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 5+ years of quantum computing research with published papers in Nature/Science
  • Expertise in quantum algorithms (QAOA, VQE, Shor's variants)
  • Proficiency with quantum frameworks (Qiskit, Cirq, Q#)
  • Experience with superconducting/ion trap quantum processors
  • Strong background in linear algebra, topology, and complex systems theory
  • Proven track record of translating theoretical concepts into practical applications

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Superconducting Qubits Quantum Error Correction Topological Computing Machine Learning High-Performance Computing

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