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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

Nexus Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek visionary Quantum Computing Researchers to develop breakthrough algorithms and hardware architectures that will redefine computational boundaries. This role offers unparalleled access to cutting-edge quantum processors and collaborative opportunities with Nobel laureates. Our Austin campus features state-of-the-art labs and flexible hybrid work arrangements, empowering you to shape the future of technology while maintaining work-life balance.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to improve qubit coherence and gate fidelity
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and quantum computing interns
  • Secure research grants and partnerships with academic institutions

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Publication record in quantum information science or quantum algorithms
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with superconducting or photonic quantum systems preferred
  • Demonstrated ability to secure research funding (NSF, DOE, etc.)
  • Excellent written and verbal communication skills
  • Authorized to work in the United States without sponsorship

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Superconducting Qubits Quantum Machine Learning Research Methodology Linear Algebra Scientific Publication

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