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2026 Quantum AI Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026 technological evolution. We're pioneering quantum-AI convergence that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll architect breakthrough systems while collaborating with Nobel laureates and industry disruptors. Our Austin campus offers state-of-the-art labs, unlimited R&D resources, and equity in a unicorn-valued startup.

Shape the future by solving humanity's grandest challenges in cryptography, climate modeling, and personalized medicine. This isn't just a job – it's your legacy in the 2026 tech revolution.

Responsibilities

  • Design and implement quantum neural networks for next-gen AI applications
  • Lead cross-functional teams in developing quantum-resistant security protocols
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with hardware teams to optimize quantum-AI hybrid systems
  • Secure $5M+ in research grants from DARPA and NSF
  • Mentor PhD candidates in quantum machine learning
  • Translate theoretical models into scalable production systems

Qualifications

  • PhD in Quantum Computing, AI, or related field (or equivalent experience)
  • 3+ years hands-on experience with quantum algorithms (Q#, Qiskit, or Cirq)
  • Published research in quantum machine learning or quantum information theory
  • Expertise in Python, TensorFlow/PyTorch, and quantum circuit optimization
  • Deep understanding of quantum error correction and fault tolerance
  • Proven track record of securing competitive research grants
  • Experience with high-performance computing clusters and HPC frameworks
  • Strong background in linear algebra, probability, and information theory

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Q# Qiskit TensorFlow PyTorch Research Cryptography High-Performance Computing Python

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