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Quantum AI Research Scientist

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 visionary Quantum AI Research Scientists to develop next-generation computational models that will redefine industries. Our Austin-based innovation hub combines cutting-edge quantum hardware with advanced machine learning to solve humanity's most complex challenges. You'll collaborate with Nobel laureates and work in state-of-the-art facilities pushing the boundaries of computational physics and artificial intelligence. This is your opportunity to shape the technological landscape of tomorrow.

Responsibilities

  • Design and implement quantum algorithms for AI optimization and predictive modeling
  • Develop hybrid quantum-classical computing frameworks for real-world applications
  • Lead research initiatives in quantum neural networks and topological data analysis
  • Collaborate with hardware teams to optimize quantum error correction protocols
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Secure patents for novel quantum machine learning methodologies
  • Mentor junior researchers and cross-functional AI/quantum teams

Qualifications

  • PhD in Quantum Computing, Physics, or Computational Mathematics (required)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or similar)
  • Publication record in top-tier quantum/AI conferences (e.g., QIP, NeurIPS)
  • Expertise in machine learning architectures (transformers, GANs, reinforcement learning)
  • Proficiency in high-performance computing environments and parallel processing
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Strong background in quantum error correction and fault-tolerant systems
  • Entrepreneurial mindset with experience in tech innovation ecosystems

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit Cirq Python TensorFlow PyTorch High-Performance Computing Quantum Error Correction

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