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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms, optimize qubit stability, and solve previously unsolvable computational challenges. Our Austin R&D center offers state-of-the-art facilities and a collaborative environment where your innovations will shape the future of AI, cryptography, and materials science.

Why Nexus Labs? We provide competitive equity packages, flexible remote work options, and dedicated resources for cutting-edge research. Our team includes Nobel laureates and Turing Award winners committed to pushing scientific boundaries.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols to enhance qubit coherence times
  • Collaborate with hardware teams to test quantum processors at cryogenic temperatures
  • Lead research publications in top-tier journals and present findings at international conferences
  • Secure research grants and partnerships with academic institutions
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent research experience)
  • 3+ years of hands-on experience with quantum computing frameworks (Qiskit, Cirq, Q#)
  • Published research in quantum error correction or quantum algorithms
  • Proficiency in Python, C++, and high-performance computing environments
  • Deep understanding of quantum mechanics and information theory
  • Track record of securing research funding or patents
  • Experience with superconducting or trapped-ion quantum systems

Required Skills

Quantum Computing Qiskit Cirq Q# Python C++ Quantum Error Correction Cryogenics Machine Learning Research Methodology High-Performance Computing

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