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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological innovation as we pioneer breakthroughs in quantum computing for 2026. We seek a visionary Research Scientist to develop next-gen quantum algorithms and applications that will redefine computing paradigms. Our state-of-the-art facility in Austin offers unparalleled resources and a collaborative environment where your work will directly impact global technological advancement.

This role offers competitive compensation, equity packages, and the opportunity to shape the future of quantum technology. You'll collaborate with Nobel laureates and industry pioneers while solving humanity's most complex computational challenges.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead research in quantum error correction and fault-tolerant computing systems
  • Collaborate with hardware teams to translate theoretical models into practical quantum processors
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Secure federal and private research funding through compelling proposals
  • Mentor junior researchers and drive quantum computing education initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years of research experience
  • Proven track record of developing quantum algorithms with demonstrated real-world applications
  • Expertise in quantum error correction codes and fault-tolerant architectures
  • Strong publication record in Nature, Science, or IEEE journals
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Experience with high-performance computing environments and parallel processing
  • Ability to secure competitive research grants and funding

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerant Systems Q# Machine Learning Research Methodology High-Performance Computing

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