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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and architectures that will redefine computational paradigms. Our Austin-based innovation hub offers unparalleled resources for groundbreaking research in fault-tolerant quantum systems and hybrid classical-quantum workflows.

You'll collaborate with Nobel laureates and industry pioneers in an environment where curiosity drives innovation. We offer competitive equity packages, flexible research timelines, and state-of-the-art laboratory facilities. This role represents a rare opportunity to shape the technological landscape of the coming decade.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction and fault-tolerant architectures
  • Develop hybrid quantum-classical computing frameworks for enterprise applications
  • Author peer-reviewed publications and present findings at international conferences
  • Mentor junior researchers and collaborate with cross-functional engineering teams
  • Secure research grants and patents for quantum computing innovations

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Strong background in quantum information theory and complexity
  • Publication record in top-tier quantum computing journals
  • Experience with superconducting or photonic quantum systems
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Cirq Qiskit Quantum Hardware Research Methodology Machine Learning

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