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Quantum Computing Research Lead

Nexus Futura
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Futura, a trailblazer in next-generation computational solutions, as we pioneer breakthroughs that will redefine technology by 2026. We seek a visionary Quantum Computing Research Lead to architect the future of quantum algorithms and drive our R&D initiatives in scalable quantum systems. This role offers unparalleled opportunities to shape emerging technologies while collaborating with Nobel laureates and industry disruptors.

Our Austin hub features state-of-the-art labs and a culture that rewards bold innovation. We offer competitive equity packages, flexible work arrangements, and continuous learning stipends to ensure you remain at the forefront of quantum evolution.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation challenges
  • Lead cross-functional teams of physicists, engineers, and software developers
  • Develop error-correction protocols for fault-tolerant quantum processors
  • Secure patents and publish high-impact research in top-tier journals
  • Drive partnerships with quantum hardware manufacturers and cloud providers
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Proven track record of publishing in Nature/Science or equivalent high-impact journals
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum error correction and fault-tolerance principles
  • Experience leading quantum computing projects with measurable outcomes
  • Strong background in machine learning and high-performance computing
  • Ability to translate complex quantum concepts into practical business applications

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerance Qiskit Cirq Machine Learning High-Performance Computing

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