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Quantum Computing Research Scientist

Nexus Dynamics
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and solve previously unsolvable computational challenges. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin lab, pushing the boundaries of quantum supremacy. This role offers unparalleled opportunities to shape the future of computational science while enjoying Austin's vibrant tech ecosystem.

Responsibilities

  • Design and implement novel quantum algorithms for cryptography, optimization, and machine learning
  • Lead experimental quantum hardware testing and error correction protocols
  • Develop hybrid quantum-classical computing frameworks for commercial applications
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure research funding through government grants and industry partnerships
  • Translate theoretical quantum concepts into patentable IP and product roadmaps

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Published research in quantum information theory or quantum computing
  • Proficiency in Python, C++, and high-performance computing environments
  • Experience with quantum simulators and hardware platforms (IBM Q, Rigetti, D-Wave)
  • Strong analytical skills with ability to solve complex multi-variable problems

Required Skills

Quantum Computing Quantum Algorithms Cryptography Machine Learning Qiskit Q# High-Performance Computing Research Methodology

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