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Quantum Computing Research Scientist

InnovateX Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join InnovateX Labs, a leader in next-generation technology, as a Quantum Computing Research Scientist. We're pioneering the quantum frontier of 2026 and seek visionary minds to solve humanity's most complex challenges. You'll collaborate with Nobel laureates in our Austin research hub, developing breakthrough quantum algorithms and contributing to projects that will redefine computing. This is your chance to shape the future while enjoying competitive compensation, cutting-edge resources, and a culture that celebrates bold innovation.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental quantum computing projects using state-of-the-art hardware platforms
  • Develop quantum error correction protocols to advance fault-tolerant systems
  • Collaborate with cross-functional teams to integrate quantum solutions into real-world applications
  • Publish groundbreaking research in peer-reviewed journals and present at international conferences
  • Drive quantum education initiatives and mentor junior researchers

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of industry experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Proven track record of published quantum computing research in top-tier journals
  • Deep understanding of quantum information theory and quantum error correction
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong problem-solving skills and ability to translate theoretical concepts into practical solutions
  • Excellent communication skills for technical and non-technical audiences

Required Skills

quantum computing quantum algorithms quantum error correction Q# Qiskit Cirq quantum physics research cryptography optimization

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