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Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing for 2026. We're seeking a visionary Quantum Computing Researcher to develop next-generation algorithms and hardware solutions that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, working on projects with global impact.

This role offers unparalleled resources for experimentation, competitive compensation, and the opportunity to shape humanity's technological future. Our culture values intellectual curiosity, collaborative innovation, and boundary-pushing research.

Responsibilities

  • Design and implement quantum algorithms for optimization and cryptography applications
  • Develop error-correction techniques for scalable quantum systems
  • Collaborate with hardware teams on qubit architecture improvements
  • Lead research initiatives for quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure research grants and partnerships with academic institutions
  • Mentor junior researchers and foster cross-departmental innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum algorithm design and quantum circuit optimization
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in quantum computing or theoretical physics
  • Experience with quantum simulation frameworks and hardware interfaces
  • Demonstrated ability to secure competitive research funding
  • Deep understanding of quantum error correction and fault-tolerant systems

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Error Correction Cryptography Machine Learning Research Methodology Scientific Computing

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