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Quantum AI Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors in our Austin-based quantum lab, equipped with cutting-edge D-Wave systems and IBM quantum processors. Your work will directly impact breakthroughs in drug discovery, climate modeling, and cryptographic security. We offer competitive equity packages, flexible remote options, and dedicated research time for your breakthrough projects.

Responsibilities

  • Lead quantum machine learning algorithm development for 2026-era computational challenges
  • Design and implement hybrid quantum-classical neural network architectures
  • Collaborate with hardware team to optimize quantum circuits for AI workloads
  • Publish breakthrough research in Nature/Science journals and top-tier conferences
  • Secure $1M+ in government/industry grants for quantum AI initiatives
  • Mentor PhD researchers and develop quantum AI curriculum
  • Partner with NASA, DARPA, and Fortune 50 companies on applied quantum solutions

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq, Q#)
  • Published research in quantum machine learning or quantum information theory
  • Expertise in tensor networks and quantum circuit optimization
  • Strong Python/C++ skills with high-performance computing background
  • Experience with AWS Braket or Azure Quantum platforms
  • Demonstrated ability to translate complex quantum concepts into commercial applications

Required Skills

Quantum Computing Machine Learning Python Qiskit C++ AWS Braket Neural Networks Quantum Algorithms High-Performance Computing

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