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Quantum Computing Research Scientist

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking an innovative Quantum Computing Research Scientist to develop breakthrough algorithms and protocols that will redefine computational boundaries. You'll collaborate with world-class physicists and engineers in our state-of-the-art Austin facility, contributing to projects that solve previously impossible problems in cryptography, materials science, and artificial intelligence.

This role offers unparalleled opportunities to shape the quantum landscape while enjoying competitive compensation, flexible work arrangements, and comprehensive benefits including stock options and professional development stipends.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications
  • Lead experimental validation of quantum computing protocols on 50+ qubit systems
  • Develop error correction techniques to achieve fault-tolerant quantum operations
  • Collaborate with cross-functional teams to integrate quantum solutions into real-world products
  • Publish research findings in leading scientific journals and conferences
  • Mentor junior researchers and contribute to patent development

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency with quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in quantum error correction and fault tolerance
  • Demonstrated ability to publish peer-reviewed research
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Excellent problem-solving skills and innovative mindset

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Fault-Tolerant Systems Cryptography Machine Learning

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