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Quantum Computing Research Scientist

InnovateLabs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join InnovateLabs' pioneering quantum computing team at the forefront of technological evolution. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and protocols that will redefine computational paradigms by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, where breakthroughs in quantum supremacy and error correction are daily realities. This role offers unparalleled opportunities to shape the quantum landscape while working with cutting-edge hardware from IBM, Google, and Rigetti.

What You'll Achieve:

Design and implement novel quantum algorithms for optimization problems, cryptography, and machine learning. Publish groundbreaking research in top-tier journals and present findings at international conferences like IEEE Quantum Week. Mentor junior researchers while driving our quantum cloud platform's development.

Responsibilities

  • Lead quantum algorithm development for NISQ-era applications
  • Optimize quantum error correction protocols for fault-tolerant systems
  • Collaborate with hardware teams on quantum processor integration
  • Develop hybrid quantum-classical computing frameworks
  • Secure $2M+ in research funding through NSF/DOE proposals
  • Publish 4+ peer-reviewed papers annually
  • Present quarterly progress to CTO and industry partners

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information
  • 3+ years quantum algorithm development experience
  • Proficiency in Qiskit, Cirq, or Q# frameworks
  • Published work in Nature/Science/Physical Review journals
  • Experience with superconducting or ion-trap quantum systems
  • Strong background in linear algebra and probability theory
  • Track record of securing government research grants

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Fault Tolerance Quantum Cryptography Machine Learning NISQ IBM Quantum Python Linear Algebra

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