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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and applications that will redefine computational paradigms. This role offers unparalleled opportunity to shape the future of artificial intelligence, cryptography, and complex system simulations.

Our Austin-based innovation hub provides state-of-the-art facilities and collaborative environment where your expertise in quantum mechanics and machine learning will directly impact global technological advancement. We offer competitive compensation, comprehensive benefits, and the autonomy to explore revolutionary concepts.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with cross-functional teams to integrate quantum solutions with classical computing frameworks
  • Publish research in peer-reviewed journals and present findings at international conferences
  • Mentor junior researchers and contribute to patent development
  • Stay current with emerging quantum hardware architectures and software platforms

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq, Q#)
  • Deep understanding of quantum mechanics principles and quantum information theory
  • Proven track record of developing quantum algorithms for real-world applications
  • Strong background in machine learning and high-performance computing
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Excellent analytical and problem-solving abilities

Required Skills

Quantum Computing Qiskit Cirq Q# Machine Learning Quantum Algorithms Error Correction High-Performance Computing Cryptography Python TensorFlow PyTorch

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