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Quantum Computing Research Scientist

InnovateX Labs
Austin
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join InnovateX Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and solve previously impossible computational challenges. Our Austin-based team operates in a state-of-the-art facility with access to cutting-edge quantum hardware and collaborative research environments.

This role offers unparalleled opportunities to shape the future of technology while working alongside Nobel laureates and industry pioneers. You'll contribute to projects spanning cryptography, drug discovery, and climate modeling, with direct impact on global innovation ecosystems.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead cross-functional research teams to advance quantum hardware-software integration
  • Develop error mitigation strategies for practical quantum systems
  • Collaborate with industry partners to translate research into commercial applications
  • Publish findings in top-tier journals and present at international conferences
  • Secure research funding through grant proposals and industry partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, quantum mechanics, and computational theory
  • Publication record in quantum computing or adjacent fields
  • Demonstrated ability to translate complex concepts for diverse audiences
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Error Mitigation Quantum Cryptography Machine Learning Research Methodology

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