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Quantum Computing Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026. We're seeking visionary researchers to develop next-gen quantum algorithms and solve previously unsolvable computational challenges. Our Austin hub offers cutting-edge lab facilities, collaborative research environments, and unparalleled resources to accelerate your career in quantum supremacy.

Shape the future of computing while working with Nobel Prize-winning mentors and participating in breakthrough projects with global impact. This role offers competitive compensation, equity packages, and the opportunity to publish groundbreaking research in leading scientific journals.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead experimental quantum computing projects using superconducting qubit systems
  • Collaborate with cross-functional teams to integrate quantum solutions into classical computing frameworks
  • Develop error-correction protocols for scalable quantum processors
  • Author peer-reviewed research papers and present findings at international conferences
  • Mentor junior researchers and contribute to quantum computing curriculum development

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience considered)
  • 3+ years hands-on experience with quantum programming languages (Q#, Qiskit, or Cirq)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in quantum hardware architectures and cryogenic systems
  • Strong background in linear algebra, complex analysis, and quantum information theory
  • Proven track record of solving complex computational problems
  • Experience with high-performance computing environments

Required Skills

Quantum Computing Qiskit Q# Cryogenic Systems Quantum Algorithms Superconducting Qubits Linear Algebra Machine Learning

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