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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will redefine computational boundaries. Collaborate with world-class physicists and engineers in our Austin innovation hub, where cutting-edge research meets commercial application. Your work will directly shape the next generation of quantum processors and accelerate discoveries in cryptography, materials science, and artificial intelligence.

Responsibilities

  • Design and implement novel quantum algorithms for practical 2026-era applications
  • Lead research in quantum error correction and fault-tolerant system architectures
  • Develop hybrid quantum-classical computing frameworks for enterprise solutions
  • Collaborate with hardware teams to optimize quantum processor performance metrics
  • Author peer-reviewed publications and patents in quantum computing domains
  • Mentor junior researchers and foster cross-disciplinary innovation
  • Secure research grants and partnerships with leading quantum institutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Deep understanding of quantum mechanics and quantum information theory
  • Strong background in high-performance computing and parallel processing
  • Published research in top-tier quantum computing journals
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Algorithm Development Qiskit Cirq Quantum Error Correction High-Performance Computing Machine Learning Cryptography Scientific Research

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