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Quantum AI Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing breakthrough applications for climate modeling, drug discovery, and autonomous systems. We seek visionary researchers to shape the technological landscape of 2026 and beyond.

What you'll achieve: Lead cutting-edge research at the intersection of quantum computing and artificial intelligence. Your work will directly impact how humanity solves complex global challenges through computational innovation. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art Austin R&D facility.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Develop hybrid quantum-classical computing frameworks for enterprise solutions
  • Lead cross-functional research projects in quantum cryptography and AI ethics
  • Publish peer-reviewed papers and present findings at international conferences
  • Collaborate with product teams to translate research into commercial prototypes
  • Mentor junior researchers and contribute to our open-source quantum toolkit

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Publication record in top-tier AI/quantum journals (e.g., Nature Quantum Information)
  • Expertise in at least one classical ML framework (PyTorch/TensorFlow)
  • Strong background in quantum error correction and fault tolerance
  • Experience with high-performance computing and distributed systems
  • Proven ability to translate complex theories into practical implementations

Required Skills

Quantum Computing Machine Learning Qiskit Cirq PyTorch TensorFlow Quantum Cryptography Fault Tolerance High-Performance Computing

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