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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop next-gen algorithms and hardware architectures 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 that could solve previously unsolvable challenges in cryptography, drug discovery, and climate modeling. This is your opportunity to shape the digital landscape of the future.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Develop error correction protocols to enhance qubit stability
  • Collaborate on hybrid quantum-classical computing frameworks
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and foster cross-disciplinary innovation
  • Secure patents for breakthrough quantum methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years hands-on experience with quantum hardware (e.g., IBM Quantum, Rigetti)
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra and quantum information theory
  • Proven track record of publishing high-impact research
  • Experience with quantum simulation tools (QASM, Quil)
  • Deep understanding of quantum error correction techniques
  • Ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Algorithm Development Quantum Error Correction Qiskit Cirq Quantum Machine Learning Linear Algebra Quantum Information Theory Cryptography IBM Quantum Research Methodology

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