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Quantum AI Research Scientist 2026

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration by 2026. We seek a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational boundaries. This role offers unparalleled resources to transform theoretical concepts into real-world applications in cryptography, drug discovery, and autonomous systems. Our Austin-based innovation hub provides collaborative spaces equipped with quantum processors and supercomputing infrastructure. Work alongside Nobel laureates and Turing Award winners to shape the technological landscape of tomorrow.

Responsibilities

  • Design and implement hybrid quantum-AI algorithms for 2026-era applications
  • Lead cross-functional research teams in quantum machine learning model development
  • Develop error mitigation protocols for quantum neural networks
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish breakthrough research in top-tier journals and conferences
  • Secure $5M+ in federal and private research funding
  • Mentor PhD candidates in quantum computing excellence

Qualifications

  • PhD in Quantum Computing, AI, or related field with 3+ years industry experience
  • Expertise in quantum algorithms and machine learning frameworks
  • Proficiency with quantum programming languages (Qiskit, Cirq, or Q#)
  • Track record of publishing in Nature/Science or equivalent tier journals
  • Experience with high-performance computing environments
  • Demonstrated ability to secure competitive research grants
  • Strong background in theoretical physics and linear algebra
  • Published work on quantum error correction or variational algorithms

Required Skills

Quantum Computing Machine Learning Algorithm Design Qiskit Cirq Python Research Leadership High-Performance Computing Theoretical Physics

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