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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
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 solutions for 2026 and beyond. We're seeking visionary Research Scientists to develop next-gen quantum algorithms and architectures that will redefine computational boundaries. Our Austin-based R&D hub offers unparalleled resources, including state-of-the-art quantum processors and a collaborative ecosystem of Nobel laureates and industry pioneers. This role offers competitive equity packages, flexible hybrid work arrangements, and the opportunity to shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
  • Lead research in quantum error correction and fault-tolerant computing architectures
  • Collaborate with hardware teams to translate theoretical models into practical quantum implementations
  • Publish breakthrough research in top-tier journals and present findings at international conferences
  • Secure external funding through NSF and DARPA grant applications
  • Mentor junior researchers and drive cross-functional innovation projects

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent research experience)
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published record in quantum algorithm development or quantum hardware integration
  • Deep understanding of quantum decoherence and error mitigation techniques
  • Proven ability to secure competitive research grants
  • Experience with high-performance computing environments and parallel processing
  • Strong communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Machine Learning High-Performance Computing Error Correction Research Methodology

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