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Quantum Computing Research Scientist 2026

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer the next generation of quantum computing systems. Our Austin-based research team is seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and architectures for 2026-era applications. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, materials science, and artificial intelligence.

At Nexus Labs, we offer unparalleled resources including our state-of-the-art Quantum Neural Network (QNN) simulator and exclusive access to IBM's quantum cloud infrastructure. Your work will directly impact our roadmap for quantum supremacy by 2026, positioning us to revolutionize industries from healthcare to climate modeling.

Responsibilities

  • Design and implement novel quantum algorithms for 2026-era computational challenges
  • Lead cross-functional research teams in developing fault-tolerant quantum architectures
  • Publish groundbreaking findings in Nature/Science journals and top-tier conferences
  • Collaborate with hardware engineers to optimize quantum error correction protocols
  • Develop hybrid quantum-classical machine learning frameworks for real-world applications
  • Secure $5M+ in government and industry research grants
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Published research in quantum information theory or quantum machine learning
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Expertise in quantum error correction and fault-tolerant computing
  • Demonstrated ability to secure competitive research funding
  • Experience with high-performance computing clusters and GPU acceleration
  • Strong background in linear algebra, probability, and computational complexity

Required Skills

Quantum Computing Quantum Algorithms Qiskit Machine Learning Fault-Tolerant Computing Research Python C++ High-Performance Computing

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