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Quantum AI Research Engineer

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary Quantum AI Research Engineers to architect next-generation computational systems that will redefine industries. Our multidisciplinary team operates at the intersection of quantum computing, machine learning, and predictive analytics to solve humanity's most complex challenges.

As a key innovator in our Quantum Intelligence Division, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms, optimize neural networks for quantum hardware, and deploy breakthrough solutions in cryptography, drug discovery, and climate modeling. This role offers unparalleled opportunities to publish groundbreaking research and shape the technological landscape of tomorrow.

Responsibilities

  • Design and implement quantum machine learning algorithms for 2026-era computational challenges
  • Develop hybrid quantum-classical neural networks optimized for emerging quantum hardware
  • Lead research initiatives in quantum cryptography and secure quantum communication protocols
  • Collaborate with cross-functional teams to translate theoretical models into production-ready solutions
  • Author peer-reviewed publications and present findings at premier international conferences
  • Contribute to patent development for proprietary quantum-AI integration methodologies
  • Mentor junior researchers and foster innovation through quantum computing hackathons

Qualifications

  • PhD in Quantum Computing, Machine Learning, or Computational Physics (MS with exceptional experience considered)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Expertise in quantum algorithm design and quantum circuit optimization techniques
  • Strong publication record in quantum computing or AI research (arXiv, Nature, IEEE journals)
  • Proficiency in Python, TensorFlow/PyTorch, and high-performance computing environments
  • Demonstrated ability to work with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
  • Deep understanding of quantum error correction and fault-tolerant computing principles

Required Skills

Quantum Computing Machine Learning Qiskit Cirq TensorFlow Python Quantum Cryptography Neural Networks High-Performance Computing

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