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Quantum Computing Research Scientist

FutureTech Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join FutureTech Innovations at the forefront of quantum revolution! We're seeking visionary Quantum Computing Research Scientists to architect the future of computational science. This 2026 opportunity offers unparalleled access to our state-of-the-art quantum labs and collaborative environment where you'll pioneer breakthrough algorithms and applications. Our Austin campus features cutting-edge facilities, competitive compensation, and a culture that values intellectual curiosity and innovation.

As part of our elite research division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex problems. We offer comprehensive benefits including equity packages, flexible work arrangements, and dedicated R&D funding. Shape the next technological paradigm while advancing your career in one of the world's most dynamic tech hubs.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and simulation challenges
  • Lead research initiatives in quantum error correction and fault-tolerant computing systems
  • Develop quantum machine learning frameworks and hybrid classical-quantum workflows
  • Collaborate with hardware teams to translate theoretical models into practical quantum applications
  • Author high-impact publications and patents in top-tier scientific journals
  • Mentor cross-functional teams on quantum principles and implementation strategies
  • Secure external research funding through NSF, DOE, and industry partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or Computational Mathematics with 3+ years post-doctoral research
  • Published record in Nature/Science or equivalent quantum computing publications
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
  • Deep understanding of quantum information theory and topological quantum computing
  • Proven experience with superconducting or photonic quantum hardware platforms
  • Strong background in high-performance computing and parallel processing architectures
  • Exceptional problem-solving skills with ability to abstract complex quantum phenomena

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Superconducting Qubits Quantum Error Correction Python C++ Qiskit Topological Quantum Computing

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