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Quantum Computing Research Scientist

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 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 visionary Quantum Computing Research Scientists to develop breakthrough algorithms and hardware architectures that will redefine computational capabilities. Our Austin campus features state-of-the-art labs and collaborative spaces where you'll work alongside Nobel laureates and industry disruptors.

As a key member of our Quantum Research Division, you'll contribute to projects with real-world applications in cryptography, drug discovery, and artificial intelligence. We offer competitive compensation, flexible work arrangements, and opportunities to publish groundbreaking research in top-tier journals.

Responsibilities

  • Design and implement quantum algorithms for practical applications
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with hardware teams to optimize qubit performance
  • Lead research initiatives in quantum machine learning
  • Publish findings in peer-reviewed journals and industry conferences
  • Secure research grants and partnerships with academic institutions
  • 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 in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Strong background in quantum information theory
  • Published research in quantum computing or related domains
  • Experience with superconducting or photonic quantum systems
  • Excellent problem-solving skills and mathematical aptitude
  • Ability to work collaboratively in cross-functional teams

Required Skills

Quantum Computing Qiskit Quantum Algorithms Superconducting Qubits Quantum Error Correction Machine Learning Cryptography Research Methodology

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