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Quantum Computing Researcher 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing applications for 2026 and beyond. We seek visionary Quantum Computing Researchers to develop breakthrough algorithms and solve complex computational challenges that will redefine industries. Collaborate with world-class scientists in our state-of-the-art Austin facility, where cutting-edge innovation meets practical implementation. This role offers unparalleled opportunities to shape the future of computational science and contribute to projects with global impact.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation challenges
  • Lead research on quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks for commercial applications
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure external funding through grant proposals and industry partnerships
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
  • Proven track record of published research in quantum algorithms or error correction
  • Expertise in quantum circuit design and quantum simulation methodologies
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with high-performance computing environments and parallel processing
  • Demonstrated ability to translate theoretical concepts into practical applications

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Machine Learning Python High-Performance Computing

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