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Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026. We seek a visionary Research Scientist to develop next-gen quantum algorithms and applications that will redefine industries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, leveraging cutting-edge hardware and software ecosystems.

What you'll achieve: Breakthrough quantum algorithm development, publication in top-tier journals, patent leadership, and mentorship of emerging quantum talent. Your work will directly influence commercial quantum applications in cryptography, optimization, and AI.

Responsibilities

  • Design and implement novel quantum algorithms for practical 2026 applications
  • Lead cross-functional teams in quantum hardware-software integration projects
  • Publish high-impact research in Nature/Science journals and secure IP patents
  • Develop quantum error correction protocols for fault-tolerant systems
  • Partner with industry leaders to commercialize quantum solutions
  • Mentor PhD candidates and junior researchers in quantum methodologies
  • Secure $2M+ in government and private quantum research funding

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
  • Published record in quantum algorithm development (Nature/Science preferred)
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Proven success in securing quantum research grants (>$500K)
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with quantum hardware (IBM, Rigetti, IonQ)
  • Strong background in cryptography or machine learning
  • Leadership in at least one quantum open-source project

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Fault Tolerance Cryptography Machine Learning Research Leadership Patent Development

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