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Quantum AI Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Shape the future of computational intelligence while working with Nobel Prize-winning mentors in our state-of-the-art Austin R&D center. This hybrid role offers competitive equity packages, unlimited learning stipends, and the opportunity to publish groundbreaking research in Nature and Science.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
  • Lead cross-functional teams to develop quantum neural networks with >1M qubit capabilities
  • Author peer-reviewed publications on quantum-AI convergence for top-tier journals
  • Collaborate with hardware teams to optimize quantum-AI hybrid system architectures
  • Develop ethical frameworks for quantum AI deployment in high-stakes industries
  • Mentor PhD researchers and guide 2026 technology roadmap development
  • Secure $5M+ in government/private research funding for quantum-AI initiatives

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (2020-2024 graduates encouraged)
  • Published research in quantum machine learning or top-tier AI conferences (NeurIPS/ICML/QIP)
  • Expertise in Qiskit, Cirq, or quantum circuit optimization frameworks
  • Proficiency in tensor networks and quantum error correction methodologies
  • Strong Python/C++ skills with experience in high-performance computing environments
  • Demonstrated ability to lead complex R&D projects with measurable outcomes
  • Passion for solving 2026's grand challenges in computational intelligence

Required Skills

Quantum Computing Machine Learning Qiskit Neural Networks High-Performance Computing Research Leadership AI Ethics

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